# How Dentists Use AI: all case studies Source: https://howdentistsuse.ai/ · Cases updated 2026-10-20 · Method: https://howdentistsuse.ai/methodology Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. ## AI receptionist for overflow and after-hours calls: Wolfe Dental's results URL: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours Category: Front desk & phones · Source label: Vendor-reported · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. A two-office practice in the Portland area with one receptionist per office let Arini's AI take overflow and after-hours calls. Arini reports missed calls fell from as many as 500 to about 50 a month and $134k in booked production over eight months, but it gives no price. ### At a glance - Practice: General + specialty group - Size: 2 offices · 6,000+ patients - Location: Greater Portland area - Tool: Arini AI receptionist - Cost: Not disclosed - Source: Vendor-reported ### Did it work? Results - Arini reports the AI answered an average of about 500 overflow and after-hours calls a month that had previously gone to voicemail. (https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production) - Arini reports missed calls fell roughly tenfold, to around 50 a month. (https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production) - Arini reports the AI booked $34,000 in production value across both offices in its first full month live. (https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production) - Arini reports the AI booked $134,000 in total production for the two offices from September 2025 to April 2026 (eight months). (https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production) - Arini says front-desk staff went from skeptical to deliberately letting calls ring through to the AI. The office manager says the patients it books keep their appointments, but no show-up rate is given. (https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production) ### Who tried it, and why According to Arini's case study, the practice had one receptionist at each office and heavy call volume, and it was missing as many as 500 calls a month. Its answer rate had fallen into the high 60s to low 70s percent. The practice spends more than $100,000 a year on marketing. Patients responding to evening and weekend campaigns called when no one was there, reached voicemail and moved on. At the desk, staff checked insurance questions against outdated reference sheets mid-call, often while patients in the office waited. The existing online booking on the website was limited and unreliable and could not handle all the appointment types patients wanted, so Arini says the practice was losing part of the demand its marketing created. ### What did they set up? - Went live in August 2025. During business hours the AI took overflow calls, and after hours it took over entirely. - Arini says the agent was trained on the practice's protocols, including new-patient intake, consult scheduling, emergency triage and hygiene bookings. It was also trained to answer patient questions on insurance coverage, services and scheduling policies. - Calls the AI couldn't fully handle, such as complex billing or clinical questions, were transferred to the front desk for follow-up. - Arini says it also gave website visitors a way to book without calling. The case study gives no separate numbers for online bookings. - Not disclosed: which practice-management system the AI booked into, how long onboarding took, and exactly who did the configuration. ### What did it cost? Not disclosed. The case study gives no price, and Arini's site shows no public pricing (arini.ai/pricing returned 404 on 2026-10-20). It points visitors to booking a demo. ### What didn't go well? - About 50 calls a month were still missed. According to Arini, these were calls the AI transferred to the front desk (complex billing or clinical questions) that staff didn't pick up. Our note: a handoff only helps if someone answers it. - Our caveat: without a price you can't check the return. The $134k is booked production (treatment put on the schedule), not money collected, and the case study reports no show-up or collection rate. - Our caveat: Arini's own numbers don't match. The headline says $140k and the body says $134k, and the $34k month is called both the 'first full month' and the 'peak month'. - Our caveat: this is published by the vendor and has not been checked independently. It names no practice-management system, gives no before-and-after booking rate, and doesn't say how long setup took. - Context from a different practice: a dental professional on r/Dentistry who used another AI receptionist (Adit) reported that a whitening promotion brought 10 calls through the AI and zero appointments. On several calls the booking flow failed and nothing reached the schedule, support couldn't fix it, and the office went back to a human answering service. The author said they did not know whether the cause was configuration, PMS sync or the product. Results depend heavily on the vendor and the setup. ### Takeaways - Start where you lose the most calls: overflow and after-hours. That was the scope here. The AI covered calls that were going to voicemail and did not replace the receptionists. - Before go-live, write down the rules the AI must follow: new-patient intake, emergency triage, hygiene vs. consult booking, and how to answer insurance questions. A vague setup is how bookings fail. - Measure your baseline first (missed calls a month, answer rate). Then ask the vendor in writing for the monthly price, appointments booked, appointments kept and production collected, not only 'calls handled'. - Decide who owns the AI's transfers and set a callback deadline. In this case, the calls still being missed were transfers no one picked up. ### Prompt to try (written by us) Write your AI receptionist's call rules before the vendor demo ``` You are helping a US dental office manager get ready for an AI phone receptionist. Using only the practice details I give below, draft a one-page call-handling playbook a vendor could configure from. Include: (1) which calls the AI takes (e.g., overflow during business hours, all calls after hours) and which must go straight to a person; (2) each appointment type with its length, which provider or chair it needs, and whether new patients may book it; (3) emergency red flags the AI must always escalate (e.g., facial swelling, trouble breathing or swallowing, uncontrolled bleeding, a knocked-out tooth) and the after-hours escalation path; (4) approved answers about the insurance plans we accept, and what to say when the AI isn't sure; (5) what the AI must never do (give clinical advice, quote fees not on our fee list, cancel an appointment without confirming); (6) a weekly report we want from the vendor: calls answered, calls transferred, transfers not returned, appointments booked, appointments kept, production booked. Ask me for anything missing before you draft. Do not include any patient names or patient information. Practice details: [office hours] [number of locations] [practice-management system] [appointment types and lengths] [insurance plans accepted] [emergency/after-hours contact procedure] ``` ### Sources - How Wolfe Dental turned 500 missed calls per month into $140k of added production, Arini, Undated (results through April 2026); accessed 2026-10-20: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production - Wolfe Dental is open for business on Cedar Falls Drive, Cedar Mill News, 2024-07-28: https://cedarmillnews.com/?p=24899 - A review about Adit AI receptionist, Reddit, r/Dentistry, 2026-07-26: https://www.reddit.com/r/Dentistry/comments/1v7izyz/ ## AI receptionist audit: LA dental office's 15-month call log shows 41% task completion URL: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit Category: Front desk & phones · Source label: Mixed · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. A part-time staff member at an Open Dental practice near Los Angeles read every failed call from 15 months of an AI receptionist. It finished 263 of the 637 calls where someone wanted something done, never put a caller through to a person, and had trouble with Spanish and with spelling names. The author later built a competing product, so weigh the comparisons with that in mind. ### At a glance - Practice: General practice, Open Dental - Size: ~$1.5M production - Location: LA area, CA - Tool: Unnamed dental AI receptionist - Cost: ~$300/mo (~$400 w/ callbacks) - Source: Mixed ### Did it work? Results - Completion rate: of the 637 calls where the caller wanted something done, the AI completed 263 (41%). The 263 includes 76 calls where it only took a message and 45 information-only calls. Actual bookings, reschedules and cancellations made on the call totalled 142, about 22% of the 637 (our arithmetic from the author's table). (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - The funnel over 15 months: 1,432 calls. In 709 (49.5%) the caller was silent or hung up at the greeting, and 86 more were 'other/unclear'. That left 637 calls where someone wanted something done. Of those, 263 were completed and 374 ended incomplete. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - Breakdown of the completed calls: 70 appointments booked, 43 reschedules, 29 cancellations, 76 messages for staff and 45 calls answered with information such as hours or location. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - New patients: 28 of the 70 bookings (40%) were new patients, which the author works out to about $168 of subscription per new-patient booking. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - Bookings went up over time, from 21 in the first six months to 35 in the last six. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - In the author's reading, callers did not object to the AI itself. Across 378 failed calls, only one caller said anything about it being an AI. Callers asked for a person far more often: 65 times in total. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) - The author's five-year estimate puts the AI at about +$10,200 profit compared with voicemail. That is below their estimates for answering services: about +$14,000 for messages only and +$17,500 for one that books. The AI figure comes from the office's data. The answering-service figures use 2026 industry pricing, not services the office tested, and come from someone who now sells an alternative. (https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/) ### Who tried it, and why Disclosure first. The person who posted these numbers works part-time at this office. After reviewing the calls, they built a competing AI receptionist for Open Dental. They pitch it at the end of the same post, with booking results from their own testing that we could not verify. The same account had announced that product on r/Dentists six days earlier. The useful part is the call-log data. Read the cost comparison and the product pitch with the conflict of interest in mind. The practice is a general office in the Los Angeles area with about $1.5M in production. It could not answer every call. About half of the calls the AI took were overflow the front desk missed during busy hours. The other half came in evenings, weekends and holidays. The author says they posted because they could not find real numbers like these when the office was choosing a system. So they measured how often the AI actually finished what a caller wanted, not just whether it answered. ### What did they set up? - Since June 2025 the AI has answered the calls the front desk could not: overflow during busy hours (about half) and evenings, weekends and holidays (the other half). - The office runs Open Dental. In a follow-up comment the author says it is a Denti-Cal office (Denti-Cal is the dental program of Medi-Cal, California's Medicaid) with many elderly patients and a large Spanish-speaking patient base. - After every call the system emailed staff a summary that said whether the task was completed. - The author sorted all 1,432 call summaries from 15 months and read the full transcript of every incomplete call. - When the AI could not finish a request, it often took a message for staff to call back. Some callers were directed to the practice's online booking page. ### What did it cost? About $300 a month in subscription, according to the author. Counting the staff time spent returning the AI's messages, the author puts it at about $400 a month (their assumption: 10 minutes per callback at $25 an hour). The author also works out about $168 of subscription per new-patient booking. The vendor's name, contract terms and setup fees are not disclosed. ### What didn't go well? - It never transferred a caller to a person, not even during business hours. Callers asked for someone 65 times. After hours the AI said nobody was available. During business hours it said staff were busy and took a message. 'Asked for a person, none available' accounted for 10% of failed calls. - It confirmed actions and then did not do them. In 9% of failures it said it would make a change, couldn't, and took a message instead. In the author's example it confirmed a reschedule, then asked for a callback number, and the appointment was never moved. These calls averaged almost three minutes, the longest of any category. - Hang-ups mid-call were the biggest failure category, 40% of the 378 failed calls. They came after the caller went quiet following an AI prompt, after hearing the office was closed, or while being sent to online booking. - Other failure causes: 16% ended as a message with the task not done, 9% were technical (speech recognition, call quality), 4% of callers gave up, 4% were repeated misunderstandings, 3% had no open slots and 3% were failed patient or appointment lookups. - Spanish: about 20% of failed calls were in Spanish. - Name spelling: in a follow-up comment the author names new-patient name capture as the top failure. The AI could not get the spelling right, the back-and-forth dragged on and callers gave up. Spanish names broke most often. The author counts 112 of about 380 logged failures as this kind of mid-call drop-off. The comment does not say outright which system's logs it means, but the ~380 matches the old AI's 378 failed calls. - Booking for someone else: in the same comment the author says family members calling for elderly Denti-Cal patients confused the AI. It mixed up the caller and the patient and never established who the appointment was for. - Half of all calls (49.5%) never got past the greeting. The source does not say how many of these were robocalls, wrong numbers or real patients put off by the AI, so half of the call volume is unexplained. ### Takeaways - Ask for the completion rate, not the answer rate, and ask how the vendor defines 'completed'. Here the 41% included messages taken. Changes actually made to the schedule on the call came to about 22%. - Check that the AI writes to your practice management system during the call. The most damaging failure here was a confirmed reschedule that turned into a message. RevenueWell, a vendor, lists 'manual appointment relay instead of direct booking' as a dealbreaker in its own 2026 buying guide. - Decide what should happen when a caller asks for a person, then test it inside and outside business hours. In this log none of the 65 requests reached a live person. - If many of your patients speak Spanish, test whole calls in Spanish, including spelling a new patient's name. CallMissed, another vendor, recommends testing each language separately and tracking how often handoffs to staff actually succeed. - Test calls where someone books for another person, such as an adult child booking for a parent or a parent booking several children. - Do not count on sending phone callers to a website. The author says sending callers to online booking lost them, and being redirected there was one of the moments when callers hung up. - Read the transcripts of incomplete calls yourself. The author used the emailed summaries to sort the calls, then read every incomplete transcript to find out why each one failed. - Ask how your vendor counts a 'handled' call. In a separate r/Dentists thread, a different Open Dental office using another vendor's AI agent said the vendor counts AI-answered calls as answered. The office still treats them as missed, because the agent takes notes but cannot act in Open Dental. That office also found patients give the AI clearer, more actionable details than they give staff. - It still beat voicemail. 142 bookings, reschedules and cancellations happened when nobody could pick up, and bookings rose over time. The open question is whether the same money could buy more finished tasks elsewhere, and the person who says it could sells the alternative. ### Prompt to try (written by us) Vendor test script: 10 calls to make before you sign an AI receptionist ``` Run these on a trial line connected to a test patient in your real schedule (or a sandbox copy). Make each call once during business hours and once after hours. Write down pass or fail for each. 1. Ask for a person. Say: "Can I speak to someone at the front desk?" Pass: during hours it puts you through live. After hours it tells you when you will be called back and creates a task. Fail: it says staff are busy, takes a message and moves on. 2. Move an existing appointment. Ask to move your test patient's visit to a specific open slot. Pass: when you open your practice management system right after the call, the appointment has moved. Fail: it confirms on the phone but only sends your team a message. 3. Book as a new patient with a hard name. Spell an unusual last name once, then correct one letter. Pass: the record in your system is spelled correctly. 4. Do the whole call in Spanish (or your patients' second language), including spelling a name. Pass: same result as in English, and it never pushes you back to English. 5. Book for someone else. Say: "I'm calling to make an appointment for my mother." Then add a second family member in the same call. Pass: each appointment is under the right patient, with your number saved as the contact. 6. Say: "My face is swollen and it really hurts." Pass: it follows your emergency protocol (a same-day slot or an alert to whoever is on call) and gives no medical advice. Fail: it offers the next routine opening. 7. Call when you are closed and ask to book. Pass: it offers a real open slot during the call. Fail: it says you are closed or sends you to a website. 8. Act misheard. Repeat yourself twice as if it did not understand. Pass: it offers a person or a callback instead of looping. 9. Ask the vendor in writing: "What is your task completion rate for practices like ours? Does a message count as completed? What share of calls get transferred to a person?" 10. After the trial, read the full transcript of every call marked incomplete, not just the summary email, and sort the failures by cause before you decide. ``` ### Sources - Honest experience with an AI receptionist: I read every failed call from 15 months, Reddit, r/Dentists, 2026-09-25: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ - Author's follow-up comment on name spelling, Spanish callers and booking for family members, Reddit, r/Dentists, 2026-09-26: https://www.reddit.com/r/Dentists/comments/1wpoxci/comment/pc7ap4s/ - Archived copy of the post's comments (Arctic Shift), Arctic Shift Reddit archive, Accessed 2026-10-20: https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1wpoxci&limit=100 - I got tired of our front desk missing calls, so I built an AI voice receptionist for Open Dental (same account's earlier product announcement), Reddit, r/Dentists, 2026-09-19: https://www.reddit.com/r/Dentists/comments/1wksx3m/ - Comment from another Open Dental office on its vendor's AI agent (counted as answered, no write-back), Reddit, r/Dentists, 2026-09-21: https://www.reddit.com/r/Dentists/comments/1wksx3m/comment/pb2x1z8/ - How to Choose a Dental AI Receptionist in 2026 (vendor guide), RevenueWell, 2026-06-25: https://www.revenuewell.com/article/how-to-choose-a-dental-ai-receptionist-in-2026 - AI Receptionist for Dental Clinics: 2026 Workflow Guide (vendor guide), CallMissed, 2026-08-14: https://www.callmissed.com/blog/ai-receptionist-dental-clinics-2026-workflow-guide - California Department of Health Care Services (Denti-Cal background), Wikipedia, Accessed 2026-10-20: https://en.wikipedia.org/wiki/California_Department_of_Health_Care_Services ## Dental Intel AI receptionist vs. Mango Voice Margo: what dental offices report URL: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist Category: Front desk & phones · Source label: Mixed · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. Some offices are trying the AI receptionists that their current phone or practice-platform vendor now sells as an add-on. One office uses Dental Intel's only for overflow and after hours, and it books new patients at night. Another tester couldn't reach the doctor in a mock emergency. A Mango Voice office says Margo gets clearer caller details than staff do, but it can't write back to Open Dental and its calls are hard to track. ### At a glance - Practice: 2 offices + 1 tester - Size: Not disclosed - Location: Not disclosed - Tool: Dental Intel AI + Mango Margo - Cost: Margo tier $449/mo; DI unlisted - Source: Mixed ### Did it work? Results - Practitioner report (Dental Intel): about a month after starting, using it only for overflow and after hours, the office says the AI had booked a number of patients, including new patients after hours, and fills openings in the hygiene schedule. (https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pboijr2/) - Practitioner report (Dental Intel): the same office says the AI handled an emergency call by forwarding the patient to the office's emergency line, and took a few payments after hours. (https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pboijr2/) - Practitioner report (Dental Intel): some callers get frustrated. Once staff explain when the AI answers and what it can do, the office says there's been almost no pushback and estimates 99% of patients are fine with it. (https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pbojlbb/) - Practitioner report (Dental Intel, negative): a poster who tried it in July 2026, about 10 days after the public launch, found little room to customize it. Posing as a patient with an emergency, they couldn't get put through to the doctor. They still noted they'd heard some very good demos. (https://www.reddit.com/r/Dentistry/comments/1sgujam/ai_receptionist_for_after_hours/owl9dtt/) - Vendor docs (Dental Intel): emergency detection, including forwarding the call to a person, came in the Sept 1, 2026 update, after that test. Dental Intel's main help article (updated Oct 7, 2026) says that for daytime overflow it can't transfer a caller to a team member mid-call. Calls that need a person get a summary so staff can follow up. The emergency-settings article lists call forwarding only as an alert option for calls it flags as emergencies. (https://educate.dentalintel.com/en/articles/14809457-ai-receptionist) - Vendor docs (Dental Intel): a weekly AI Receptionist dashboard (total calls, after-hours calls, minutes used, average call duration, peak call hours, appointments scheduled) was added Sept 1, 2026. Dental Intel's Sept 29, 2026 update says call summaries are now also saved to the patient's record in the PMS. (https://educate.dentalintel.com/en/articles/17062336-september-29-2026-product-updates) - Practitioner report (Mango Margo): apart from a few patients who hate AI, the practice finds that patients, new ones included, give Margo clearer and more usable information than they give staff on regular calls. (https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/) - Practitioner report (Mango Margo): Mango doesn't count Margo-answered calls as missed, but the practice does. Margo has no dashboard: its recordings are mixed in with hundreds of other calls, and the office only gets an email when Margo answers, then has to search the call logs. (https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/) - Practitioner report (Mango Margo): the biggest problem is no write-back to Open Dental. Margo takes notes but can't take action on them. (https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/) - Vendor page (Mango): Mango's current dental page says Margo collects name, reason and callback number and then creates a callback task in the practice-management system. It doesn't claim Margo books appointments. In its sample call, Margo tells the patient the team will call back to find a time. (https://mangovoice.com/dental/practices) ### Who tried it, and why Calls go unanswered when the front desk is on another line or the office is closed. Many offices already pay for a phone system (Mango Voice) or a patient-engagement and analytics platform (Dental Intelligence), and both vendors now sell an AI receptionist as an add-on. Buying from a vendor you already use looks easy. Whether it actually helps comes down to a few things: when the AI answers, whether it can put appointments into the practice-management system, whether you can see what it did, and how long the contract locks you in. ### What did they set up? - Dental Intel office: staff answer first. A call goes to the AI Receptionist only after 3 unanswered rings, and every call goes to it after hours. Dental Intel's setup guide says the practice asks its VoIP provider to forward calls to a number Dental Intel provides, on a schedule, with an optional rule to forward after X unanswered rings. - The same office tells patients plainly what the AI can and can't do, and that it answers only when the office is closed or staff are on another line. If the AI can't help, it takes the caller's details and sends them to the Dental Intel platform so staff can call back. - Booking (Dental Intel's help docs): AI scheduling is in beta and needs Dental Intel Online Scheduling. You add each appointment type with the words patients use for it, then choose for each one whether the AI only requests the appointment (staff approve) or creates it straight in the PMS. Dental Intel suggests starting with new-patient exams and hygiene for returning patients only. - Emergencies (Dental Intel's help docs, added in its Sept 1, 2026 update): a keyword list (toothache, swelling, knocked-out tooth and so on) marks a call as urgent. The practice sets separate alerts for business hours and after hours: inbox notification, email, text, or forwarding the call to a person such as the on-call doctor. If you delete keywords, the AI can no longer flag those calls. - Mango Voice office (runs Open Dental): uses Margo. According to Mango's dental page, Margo picks up when the team is on another line, at lunch or closed, captures the caller's name, reason for calling and callback number, and creates a callback task in the PMS. Mango says Margo is built only for Mango Voice customers, and its pricing page includes Margo only in the top Complete plan. - The Mango office also considered Modento's AI receptionist but decided against it because it didn't want to be locked in for another year. Modento has belonged to Dental Intelligence since 2021. ### What did it cost? None of the offices said what they pay. Dental Intelligence sells the AI Receptionist as an add-on to its Engagement Module and doesn't publish a price. Its help center says the service includes 1,000 minutes a month, tracked under a quota-usage setting. Its cancellation policy (effective June 1, 2024) says agreements typically run a year and renew automatically. To stop renewal you must send a cancellation request at least 30 days before the renewal date, and you still owe the rest of the current term. Mango Voice's dental pricing page offers Margo only in the Complete plan at $449/month. The Voice + AI plan without Margo is $349 and Voice alone is $249. The page doesn't say whether prices are per location and gives no contract length. The Mango office said it would consider a month-to-month option and decided against Modento rather than commit to another year. ### What didn't go well? - Dental Intel, mock emergency: a tester couldn't reach the doctor and found few customization options. The test was in July 2026, before Dental Intel released emergency keywords and call-forwarding alerts on Sept 1. We don't know how that tester had it configured. - Dental Intel, daytime overflow: by the vendor's own documentation, it can't hand an ordinary caller to a staff member mid-call. Patients who need a person get a follow-up, not a transfer. Dental Intel also warns that the AI can make mistakes and says to review call summaries. - Dental Intel, booking limits (vendor docs): scheduling is in beta and needs Dental Intel Online Scheduling. It won't schedule or request any appointment type you haven't set up for it, and it doesn't let patients pick a provider. It only matches a caller to their chart if they give the first name on their record, not a preferred name. - Mango Margo: no write-back to Open Dental, no Margo dashboard, and Margo-answered calls aren't counted as missed. The office can't easily see what Margo handled or what still needs a callback. - What went wrong elsewhere (r/Dentistry after-hours thread, April 2026, vendors not named): one office fired its AI receptionist vendor almost straight away after it booked patients on dates, at times and at locations that weren't open. Another dentist said it booked several crowns at the same time as emergencies and denture adjustments. That dentist scrapped it and says it disrupted the schedule for about two months. - Also in that thread: an office still using one after hours calls it a fancy voicemail. Its data shows patients do engage with it, but the office can't tell whether it brings in new patients or just wastes time and money. ### Takeaways - Start with overflow and after hours only. The office that's happy with Dental Intel has staff answer first and lets the AI pick up after 3 rings or when the office is closed. - Ask exactly what 'books appointments' means for your PMS: does it create the appointment, send a request for staff to approve, or only leave a note or task? Dental Intel lets you choose for each appointment type. The Mango office says Margo couldn't write back to Open Dental at all. - Ask how AI-answered calls are reported. Are they counted separately from calls staff answered and calls nobody answered? Is there a dashboard, and where are the recordings and summaries kept? Without that you can't tell if it's bringing in patients. - Test emergencies yourself before go-live and again after any update: call after hours as a patient in pain and check the call reaches whoever is on call. Also ask whether it can transfer an ordinary caller to staff during business hours. Dental Intel's documentation says it can't yet. - Ask about contract length before signing. Dental Intel says its agreements are typically annual and renew automatically unless you cancel at least 30 days ahead. The Mango office passed on another vendor rather than commit to another year. - Turn on a few appointment types first (Dental Intel suggests new-patient exams and hygiene). The worst failures in the forums came from AI booking into dates, times and locations that weren't really open. - Tell patients what it does. The Dental Intel office says explaining when the AI answers, and that it takes a message when it can't help, removed almost all pushback. ### Prompt to try (written by us) Test an AI receptionist add-on before you sign ``` I manage a dental office. Our [phone system / practice platform] vendor, [VENDOR], is offering an AI receptionist add-on. We use [PMS: e.g., Open Dental, Dentrix, Eaglesoft]. We only want it for overflow (after [X] unanswered rings) and after hours. Our hours: [HOURS]. Locations: [LOCATIONS]. Emergency policy: [WHO IS ON CALL AND HOW TO REACH THEM]. Appointment types we'd let it book: [LIST WITH LENGTHS, PROVIDERS AND OPERATORIES]. 1. Write 10 test calls I can make myself before go-live. For each, give a short caller script and the exact result I should see in our PMS and call log. Include: an after-hours patient in severe pain who needs the on-call doctor; a new patient asking for a cleaning; an existing patient rescheduling; a caller asking whether a specific insurance plan is in network; a caller who insists on talking to a person; a patient who gives a nickname instead of the first name on their chart; and a request for a time or location we don't offer. 2. List the questions I should ask the vendor, grouped under: write-back to [PMS] (does it create the appointment, request it for approval, or just leave a note/task?), call reporting (how AI-answered calls are counted, dashboard, where recordings and summaries are kept), transferring callers to staff during business hours, emergency routing, pricing (per location? minute caps?), and contract length, auto-renewal and cancellation notice. 3. Give me a one-page scorecard to fill in after the test calls and again after the first 30 days. Don't assume any feature exists. Mark everything I need to confirm with the vendor in writing. ``` ### Sources - Has anyone here actually used an AI phone receptionist in a dental practice? (comments from an office using Dental Intel's AI receptionist), Reddit, r/Dentists, 2026-09-16 (comments used: 2026-09-24): https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/ - I got tired of our front desk missing calls, so I built an AI voice receptionist for Open Dental (only the reply from a practice using Mango Voice's Margo is used), Reddit, r/Dentists, 2026-09-19 (comment used: 2026-09-21): https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/ - Ai Receptionist for after hours?, Reddit, r/Dentistry, 2026-04-09 (comments used: 2026-04-09, 2026-04-10, 2026-07-09): https://www.reddit.com/r/Dentistry/comments/1sgujam/ai_receptionist_for_after_hours/ - Reddit comment archive for the threads above (Arctic Shift API), Arctic Shift (photon-reddit.com), Accessed 2026-10-20: https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1whrwge&limit=100 - AI Receptionist (Knowledge Base), Dental Intelligence, Updated 2026-10-07: https://educate.dentalintel.com/en/articles/14809457-ai-receptionist - Set Up AI Receptionist to Handle Scheduling and/or Requesting Appointments, Dental Intelligence, Updated 2026-10-07: https://educate.dentalintel.com/en/articles/15623639-set-up-ai-receptionist-to-handle-scheduling-and-or-requesting-appointments - Configure AI Receptionist's Emergency Detection Settings, Dental Intelligence, Updated 2026-09-01: https://educate.dentalintel.com/en/articles/16651983-configure-ai-receptionist-s-emergency-detection-settings - Review Call Stats in the AI Receptionist Dashboard, Dental Intelligence, Updated 2026-09-01: https://educate.dentalintel.com/en/articles/15623750-review-call-stats-in-the-ai-receptionist-dashboard - September 1, 2026 Product Updates, Dental Intelligence, 2026-08-31: https://educate.dentalintel.com/en/articles/16149827-september-1-2026-product-updates - September 29, 2026 Product Updates, Dental Intelligence, 2026-10-02: https://educate.dentalintel.com/en/articles/17062336-september-29-2026-product-updates - July 2026 Product Updates, Dental Intelligence, 2026-07-10: https://educate.dentalintel.com/en/articles/15619803-july-2026-product-updates - Dental Intelligence Launches Explorer and AI Receptionist (press release, paid distribution), Prodigy Press Wire via American Press SMB, 2026-06-29: https://smb.americanpress.com/article/Dental-Intelligence-Launches-Explorer-and-AI-Receptionist-Bringing-Purpose-Built-AI-to-Dentistrys-Only-End-to-End-Practice-Performance-Platform/6a42c4fb35f4110002aadfe1 - AI Receptionist (product page), Dental Intelligence, Accessed 2026-10-20: https://dentalintel.com/ai-receptionist - Cancellation Policy, Dental Intelligence, Effective 2024-06-01: https://dentalintel.com/terms/cancellation - Mango Voice for dental practices (Margo and pricing), Mango Voice, Accessed 2026-10-20: https://mangovoice.com/dental/practices - Oryx Expands AI Integration with Mango Voice, Dentistry Today, 2025-10-06: https://www.dentistrytoday.com/oryx-expands-ai-integration-with-mango-voice/ - Dental Intelligence Announces Acquisition of Modento, Dental Compare, 2021-03-19: https://www.dentalcompare.com/News/574373-Dental-Intelligence-Announces-Acquisition-of-Modento/ ## AI insurance verification, fifth tool tried: Overjet reports 15+ hrs/week saved URL: https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification Category: Insurance verification & billing · Source label: Vendor-reported · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. A three-dentist family practice in South Carolina had tried four verification tools, most of which returned only about half the benefit details it needed. Overjet reports that its AI now returns 85% or more of those details and saves the practice 15+ hours a week. ### At a glance - Practice: Family general practice - Size: 3 dentists · 1 front desk admin - Location: Indian Land, SC - Tool: Overjet Insurance Verification - Cost: Not disclosed - Source: Vendor-reported ### Did it work? Results - Overjet reports the practice saves 15+ hours a week that used to go on manual insurance checks and phone calls (case study, December 2025). (https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification) - Overjet reports that each verification now comes back with 85% or more of the information complete, against about 50% from most earlier tools. It calls this a 70% increase in data completeness. (https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification) - Overjet reports it now surfaces details that were not available to the practice before: periodic exam frequency, periodontal history and comprehensive patient history. (https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification) - In a testimonial on Overjet's undated Ivy product page, Dr. James Candon of Bridge Mill says the team is saving four hours a day with Ivy. He adds that the reports are more complete and easy to read, and that they can be searched by code. (https://www.overjet.com/solutions/insurance-verification) ### Who tried it, and why Overjet's case study describes insurance verification as a major bottleneck at Bridge Mill Dental Care. With one front desk administrator supporting three busy dentists, the team spent hours each week verifying patients' insurance. Most of the verification tools it had used showed only about half of the information it needed. Patient history, periodontal history and exam frequency were often missing, so staff still called insurers or searched payer websites to fill the gaps. ### What did they set up? - Overjet was the fifth insurance verification solution the practice had tried. - According to Overjet, the main gain was detail the earlier tools never showed: periodic exam frequency, periodontal history and fuller patient history. - Overjet's insurance-verification page now presents the product as 'Ivy'. Overjet says Ivy verifies benefits, calls payers and builds patient cost estimates, so the team can see which patients need attention. - Not disclosed: which practice management software Bridge Mill uses, whether results are written into the patient record automatically, how far ahead of appointments verification runs, and how long rollout took. ### What did it cost? Not disclosed for Bridge Mill. In an October 2025 blog post on automated verification in general, Overjet says monthly subscriptions typically run $200–$800 depending on practice size and features, with extra costs for integration and training. That is a vendor's estimate for the category, not this practice's price. ### What didn't go well? - Vendor-reported: every number comes from Overjet's marketing pages. None says how the hours saved were measured or over what period. - Our caveat: the two time-saved figures are given in different units, possibly for different product versions. The December 2025 case study says 15+ hours a week. The undated Ivy page quotes four hours a day, which comes to roughly 20 hours over a five-day week. Neither explains how it was measured. - Our caveat: 85% or more complete still means some fields can be missing on a verification. The case study does not say how staff handle those gaps. - Our caveat: tool quality appears to vary. The case study says the practice had already tried four other verification solutions before Overjet. - A commenter on r/Dentistry whose office uses Open Dental (February 2026) said many insurance portals cannot be trusted. Their clearinghouse already checks the reliable ones, and most of their problems are with carriers that still need a phone call for exact benefits. - Overjet's own blog posts (October 2025) say practices typically keep manual verification for about 5–10% of patients whose plans or carriers are not fully supported. They also say manual checks may be needed during extended payer portal outages. - Related billing automation has disappointed some offices. In an October 2026 r/Dentistry thread asking about AI tools such as Lassie for posting EOBs, one commenter said that, more than a year earlier, their staff had found Lassie not worth it and were more efficient doing the work themselves. It is a different tool and task from this case. ### Takeaways - Test for completeness, not speed. Take 10–20 recent verifications and note which fields your current process misses, such as frequency limits, perio history and dates of past work. Ask the vendor to run the same plans and count how many fields come back filled. - Ask who makes the calls when portal data falls short: an AI voice agent, a person at the vendor (and where they are based), or your own staff. Phone-only carriers are where these tools tend to stall. - Measure your own time. Log front desk verification hours for two weeks before go-live and two weeks after. The vendor's time-saved figures for this practice were stated in two different ways. - Before signing, get in writing which practice management systems it writes back to, how far ahead of appointments it runs, the monthly price and any setup fee. This case study discloses none of them. ### Prompt to try (written by us) Check a benefits breakdown for missing fields ``` You are helping a US dental front desk check the quality of an insurance verification. Below is a benefits breakdown with ALL patient identifiers removed (no name, date of birth, member ID or subscriber details). Compare it against this checklist and return a table with three columns: Field | Found (yes / no / unclear) | What to ask the payer. Checklist: annual maximum and amount remaining; deductible and amount met; coverage % for preventive, basic and major; frequency limits for exams, prophy, bitewings, FMX/pano and perio maintenance; last-service dates for those procedures; SRP and perio maintenance rules; missing-tooth clause; waiting periods; downgrades (e.g., posterior composites); age limits for fluoride and sealants; coordination of benefits. Then list the 3 questions most worth asking the payer before the appointment. Do not guess any value that is not in the text; mark it 'unclear' instead. [Paste the de-identified breakdown here. Use only an AI tool your practice has a BAA with.] ``` ### Sources - How Bridge Mill Dental Care Saves 15+ Hours a Week with Overjet's Insurance Verification, Overjet, 2025-12-04: https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification - Meet Ivy, the AI Insurance Coordinator (product page with Bridge Mill testimonial), Overjet, Undated; accessed 2026-10-20: https://www.overjet.com/solutions/insurance-verification - BridgeMill Dental Care (practice website: Indian Land, SC; three dentists listed), BridgeMill Dental Care, Accessed 2026-10-20: https://www.bridgemilldentalcare.com/ - Your Guide to the Pros and Cons of Automated Dental Insurance Verification, Overjet (blog), 2025-10-06: https://www.overjet.com/blog/your-guide-to-the-pros-and-cons-of-automated-dental-insurance-verification - How Dental AI Increases Approvals & Avoids Treatment Delays, Overjet (blog), 2025-10-22: https://www.overjet.com/blog/pros-and-cons-of-ai-powered-dental-insurance-verification - What's your biggest insurance verification headache in 2026? (comment thread), Reddit r/Dentistry (read via Arctic Shift archive), 2026-02-24: https://www.reddit.com/r/Dentistry/comments/1rd8k6w/ - Anyone have experience with AI EOB software?, Reddit r/Dentistry (read via Arctic Shift archive), 2026-10-05: https://www.reddit.com/r/Dentistry/comments/1wy79ra/ ## Dentist drops DentalXChange Eligibility AI within 3 months over crown error URL: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error Category: Insurance verification & billing · Source label: Practitioner report · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. A general dentist cancelled DentalXChange's Eligibility AI within about three months. It was accurate on easy checks and saved maybe a minute or two of front-desk time, but it got harder checks wrong, including a crown it showed as covered at 50% when coverage was 0%. The whole report is one short Reddit post and one reply, and the vendor's own claims come with no independent figures. ### At a glance - Practice: General practice (anonymous) - Size: Not disclosed - Location: Not stated - Tool: DentalXChange Eligibility AI - Cost: Not disclosed - Source: Practitioner report ### Did it work? Results - On easy checks, which staff could easily have done correctly themselves, the results were accurate. The dentist estimates this saved maybe a minute or two of front-desk time. (https://www.reddit.com/r/Dentistry/comments/1v7zo26/) - On the checks that are hard for the dentist or staff to get right, the dentist says it did a terrible job of getting accurate information. (https://www.reddit.com/r/Dentistry/comments/1v7zo26/) - In one case it said a crown would be covered at 50% when coverage was actually 0%. (https://www.reddit.com/r/Dentistry/comments/1v7zo26/) - The dentist cancelled within about three months. (https://www.reddit.com/r/Dentistry/comments/1v7zo26/) - The only reply (no role or flair shown) said that, like most dental eligibility 'AI' tools, it fails on the details that matter most. Active/inactive status was about the only result that person would fully trust. (https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1v7zo26&limit=100) - Vendor claims at launch (Jan 2024): the platform streamlines benefit verification, significantly cuts calls to payers, and reduces claim errors, denials and rejections. The article also lists inaccurate patient estimates among the problems it solves. It gives no figures for the product and no pricing. (https://www.dentistrytoday.com/dentalxchange-launches-its-eligibility-ai-platform/) - Vendor claim on the current product page: automating benefit checks saves 3+ hours per day. The page shows no method, customer names or prices. (https://dentalxchange.com/product/lp/eligibility-ai-practice-management-software) - Competitor view, not about this practice: eAssist sells specialized dental billing services, so it has a stake in this argument. The description of a podcast episode with its CTO, Jason Orgill, splits eligibility checks into three phases: automated basic checks, portal scraping, and phone calls for complex high-dollar procedures. It says most AI tools stop at phase two and that human expertise is still essential for high-dollar cases. (https://www.youtube.com/watch?v=VseBkCSVxog) ### Who tried it, and why Front-desk teams check insurance benefits before visits. DentalXChange's January 2024 launch announcement says practice systems connect to a clearinghouse for electronic eligibility, but payers make little detailed benefit data available. To get the full picture, staff end up searching individual payer portals or calling payer after payer. DentalXChange sells Eligibility AI to automate that work. The post does not say what workload or goal the dentist started with. ### What did they set up? - Used DentalXChange Eligibility AI. The dentist did not say which practice management system it was connected to, how many locations or staff used it, or how it was configured. - Vendor description (Jan 2024 launch article): the platform syncs with the office's schedule and verifies eligibility and benefits before appointments, or in real time for same-day walk-ins. It organizes benefit data the same way across all payers. - Vendor description (Oct 2025 blog): checks can run up to 10 days before an appointment, run in the background, and flag only the appointments that need attention. Practices connect through a supported practice management system, a CSV upload or an API. - Vendor description (Jan 2024 blog): AI reads complex payer portals and automates pulling information from payer websites. - Cancelled within about three months. ### What did it cost? Not disclosed. The dentist gives no price. DentalXChange's product page lists no prices and offers a pricing quote form and a demo request. Its Oct 2025 blog tells readers to contact their DentalXChange account executive. ### What didn't go well? - The error was on a crown, typically a high-dollar procedure, where a mistake costs the most. A benefit shown as 50% when it is 0% can lead to a wrong patient estimate that later has to be corrected or collected. - The time saved came from easy checks that staff could already get right, maybe a minute or two of front-desk time. The hard checks still needed a person. - The vendor materials we read (launch article, two blog posts, product page) give no accuracy rates by procedure type. - The evidence is thin: one 369-character post and one reply. We do not know the payers involved, the practice management system, how the tool was set up, or whether DentalXChange tried to fix the crown error. We found no other independent user reviews of this product. ### Takeaways - Treat active/inactive status and simple checks as what an AI eligibility tool is most likely to get right. Before quoting a patient for crowns, implants or perio, check the breakdown against the payer's portal or by phone. - Measure time saved on your own mix of appointments. One user put it at a minute or two on checks that were already easy, while the vendor's page claims 3+ hours a day. - During a trial, have staff verify the same high-dollar procedures by hand alongside the tool for a few weeks. Count the mismatches by payer and procedure category before you rely on it. - Ask the vendor how the tool handles frequency limits, missing-tooth clauses, waiting periods and downgrades, and what it shows when a payer portal does not give an answer. - Competitor view (eAssist, which sells dental billing services): most AI verification stops at portal scraping, and complex high-dollar cases still need a call. Allow for eAssist's interest, though it matches this dentist's experience. ### Prompt to try (written by us) Audit an AI benefit breakdown before quoting a crown, implant or perio case ``` First remove the patient's name, date of birth, member/subscriber ID, group number and any other identifiers. Paste only the plan-level benefit breakdown and the planned procedure codes. Do not paste patient information into a general chatbot. Prompt: You are helping a US dental front office double-check an insurance benefit breakdown before we give a patient a cost estimate. No patient-identifying information is included. Below are (1) the benefit breakdown our eligibility tool returned and (2) the procedures we plan to quote, with CDT codes and our fees. For each planned procedure: 1. State the coverage percentage, deductible and annual maximum that apply, and quote the exact line of the breakdown you used. If the breakdown does not state it, write NOT STATED. Do not assume a category (for example, do not assume a crown is 'Major' at 50%). 2. Check whether the breakdown answers each item that commonly changes coverage for that procedure: frequency limits and last date of service; missing-tooth clause; waiting periods; alternate-benefit or downgrade rules; replacement limits for crowns and bridges; implant coverage or exclusions; perio rules (scaling and root planing per quadrant, periodontal maintenance vs. prophy frequency); pre-authorization requirements; remaining annual maximum. Mark each one ANSWERED or MISSING. 3. Flag any contradictions in the breakdown, and anything that looks like a generic default rather than plan-specific data. 4. Give each procedure one verdict: OK TO QUOTE, VERIFY BY PHONE OR PORTAL, or DO NOT QUOTE YET, with one sentence explaining why. Then write (a) a short list of questions for our staff to ask the payer about every item marked VERIFY, and (b) one plain-language sentence for the patient explaining that the estimate is based on the information the insurer gave us and is not a guarantee of payment. Benefit breakdown: [paste here] Planned procedures (CDT code and fee): [paste here] ``` ### Sources - Review of Dental Exchange Eligibility AI (read via the Arctic Shift Reddit archive), Reddit r/Dentistry, 2026-07-27: https://www.reddit.com/r/Dentistry/comments/1v7zo26/ - Comments on post 1v7zo26 (archive), Arctic Shift Reddit archive, 2026-07-27: https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1v7zo26&limit=100 - DentalXChange Launches its Eligibility AI Platform, Dentistry Today, 2024-01-05: https://www.dentistrytoday.com/dentalxchange-launches-its-eligibility-ai-platform/ - AI dental insurance verification (vendor blog), DentalXChange, 2024-01-07: https://www.dentalxchange.com/blog/ai-dental-insurance-verfication - Eligibility AI (vendor blog), DentalXChange, 2025-10-14: https://www.dentalxchange.com/blog/eligibility-ai-dentalxchange - Eligibility AI product page, DentalXChange, Undated (accessed 2026-10-20): https://dentalxchange.com/product/lp/eligibility-ai-practice-management-software - Why Your AI Insurance Verification Might Be Costing You Patients (And Money) with Jason Orgill, Byte Sized Podcast (YouTube), 2025-10-10: https://www.youtube.com/watch?v=VseBkCSVxog ## Signature Dental Partners automated clean claims first, reports denials down 50%+ URL: https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims Category: Insurance verification & billing · Source label: Mixed · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. In late 2024, the VP of revenue cycle at Signature Dental Partners, a DSO with about 100 practices, said she talked to about five AI vendors and then automated one workflow: clean claim submission, with Thoughtful AI. She reported denials down by more than half and claim turnaround cut from 45 days to 17. These are early, self-reported figures. They come from a session co-presented by the vendor and written up 'in collaboration with' it. ### At a glance - Practice: Multi-site DSO - Size: ~100 practices (2024) - Location: Phoenix, AZ (HQ) - Tool: Thoughtful AI claims automation - Cost: Not disclosed - Source: Mixed ### Did it work? Results - Perry said denial rates fell by more than 50% 'so far' after the group started working with Thoughtful AI. She presented this in late 2024 as progress, not a final result. (https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/) - Perry said claim turnaround dropped from 45 days to 17. The article does not say how turnaround was measured (for example, from submission to payment). (https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/) - The first automated workflow was clean claim submission. Perry said she chose it because it was the group's biggest obstacle, and she got her executive team to approve that one process first. (https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/) - In May 2024, the show notes for a podcast episode with Thoughtful AI's CEO described Signature as a success story of fewer days sales outstanding and growth without extra hiring. This is a promotional summary and gives no numbers. (https://podcast.app/revolutionizing-healthcare-management-with-advanced-ai-technologies-e377439649) ### Who tried it, and why Cara Perry, Vice President of Revenue Cycle Management at Signature Dental Partners, has 15 years of experience in DSOs and RCM. She had centralized the group's billing functions into one RCM team that she built from the ground up. The business goal was to grow from about 100 practices to about 200 without her team growing at the same rate. Her biggest problem was claim quality: claims were leaving with errors and getting paid late. The panel also named industry-wide pressures, including more claims, harder payer relationships and high staff turnover on RCM teams. ### What did they set up? - Centralized the revenue cycle first. Perry had built one RCM team for the group before bringing in AI. - Tied the project to a business goal: double the number of practices without adding billing staff at the same pace. - Interviewed about five AI companies before going with Thoughtful AI, which sells AI agents for claims processing, eligibility, prior authorizations and payment posting. - Asked the executive team to approve one process only: clean claim submission, which she called the group's biggest obstacle. She did not try to automate the whole revenue cycle at once. - The vendor's method, as its co-founder Dan Parsons described it, starts with the denial data. You find which denial reasons and which payers cause most of the denials and fix that slice first. His example was a practice where 30% of denials come from eligibility or prior authorization, mostly from five payers. This describes the vendor's general approach, not Signature's own data. - The collaboration-labelled recap calls the claims project a foundation for adding more AI workflows later. It reports no results from later phases. - Timeline: show notes for a podcast episode with Thoughtful AI's CEO, published May 31, 2024, already called Signature a success story. Perry and Parsons presented at Becker's Fall Future of Dentistry Roundtable on Oct 31, 2024. Becker's published its recap on Nov 19, 2024. ### What did it cost? Not disclosed. No source we fetched gives the price, contract structure or setup fees. Two numbers in the same article come from the vendor's co-founder, not from Signature: working one denial can cost up to $118 per claim, and 9 out of 10 denials are preventable. A $118-per-claim appeal cost was also reported in 2017, from a Change Healthcare report based on 2016 hospital claims. It is an old benchmark and not specific to dental. ### What didn't go well? - No problems were disclosed. A Thoughtful AI co-founder co-presented the session, and the write-up is labelled 'In collaboration with Thoughtful AI'. Setbacks rarely come up in that setting, which does not mean there were none. - There is no baseline. The recap doesn't give Signature's starting denial rate or say how the 45-day and 17-day turnaround figures were measured, so you can't compare them directly with your own numbers. - These are early results from 2024. We found no later follow-up from the practice that we could open and verify. - The vendor has changed since then. In May 2025, New Mountain Capital announced it was combining Thoughtful AI with SmarterDx and Access Healthcare to form Smarter Technologies. Today thoughtful.ai redirects to Access Healthcare, an RCM services company with a dental RCM page. A practice evaluating this tool now would be dealing with a different, larger company than the one Signature hired. - The two headline statistics in the article, the $118 cost per denial and 9 out of 10 denials being preventable, came from the vendor's co-founder, not from Signature's own data. ### Takeaways - Start with your single biggest leak. For Signature that was claims going out with errors. Perry automated that one workflow first and treated it as a base to build on. - Talk to several vendors. Perry interviewed about five AI companies before choosing one. - Before you start, write down your baseline: denial rate, top denial reasons by payer, and days from submission to payment. Without it you can't check a result like 45 days to 17. - Treat vendor statistics as sales claims. The $118 cost per denial and the 9-in-10-preventable figure came from the vendor, and the $118 matches a 2017 hospital figure, not dental data. - Signature had a central billing team and about 100 offices, which gave it a lot of volume to work with. A single office can still use the same method: pull 90 days of denials, sort them by reason and payer, and fix the top one. - Ask any AI claims vendor how much of the work is software and how much is people, and which company you are actually signing with. Thoughtful AI is now part of Smarter Technologies, and its website redirects to an RCM services firm. ### Prompt to try (written by us) Find your single biggest claims leak before you buy anything ``` I run billing for a dental practice with [number] locations. Below is a de-identified export of our denied and rejected claims from the last 90 days. It has no patient names, dates of birth or member IDs. The columns are: payer, CDT code, denial or rejection reason, billed amount, and days to resolution. 1. Group the denials by reason and by payer. Show the 3 reason + payer combinations that cost us the most in dollars and in rework. 2. For each of those 3, tell me whether it looks preventable before submission (missing attachment or narrative, eligibility, frequency limit, coding or bundling) or only fixable after the denial. 3. Recommend ONE workflow to fix or automate first, and explain why in plain language. 4. Write a short pre-submission checklist my team can start using this week for that workflow. 5. List 5 questions I should ask any AI claims vendor. Include how they will measure our baseline denial rate and days to payment before go-live, and how much of the work is software versus people. If the data is too thin to support a conclusion, say so instead of guessing. [paste de-identified data here] ``` ### Sources - How AI drives quick wins in RCM: 4 takeaways for DSOs, Becker's Dental + DSO Review (in collaboration with Thoughtful AI), 2024-11-19: https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/ - How AI drives quick wins in RCM: 4 takeaways for DSOs (archived copy used for reading), Internet Archive Wayback Machine, 2025-05-18: http://web.archive.org/web/20250518171828/https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/ - Session: DSOs Winning with AI: Real-World Success Stories in the Revenue Cycle (Fall Future of Dentistry Roundtable), Becker's Healthcare conferences, 2024-10-31: https://conferences.beckershospitalreview.com/oct-2024-dental-roundtable/session/2506932/a.-dsos-winning-with-ai-real-world-success-stories-in-the-revenue-cycle - New Mountain combines portfolio companies to launch AI revenue cycle firm, Healthcare Dive, 2025-05-21: https://www.healthcaredive.com/news/new-mountain-capital-creates-ai-revenue-cycle-management-company-smarter-technologies/748748/ - Revolutionizing Healthcare Management with Advanced AI Technologies (podcast episode with Thoughtful AI CEO Alex Zikoff; show notes), Evan Kirstel podcast, via podcast.app, 2024-05-31: https://podcast.app/revolutionizing-healthcare-management-with-advanced-ai-technologies-e377439649 - Revenue cycle management built for dental practices (thoughtful.ai now redirects to this company's site), Access Healthcare, 2026-10-20 (accessed): https://www.accesshealthcare.com/who-we-help/dental-revenue-cycle-management - How Signature Dental Partners Achieved 13X ROI with Overjet AI at Costa Verde Dental (used only for DSO size), Overjet (vendor case study), 2026-04-21: https://www.overjet.com/resources/signature-dental-partners-achieved-13x-roi-with-overjet-ai - Signature Dental Partners: portfolio company profile (used only for location), Private Equity Info, 2026-10-20 (accessed): https://privateequityinfo.com/directory/private-equity-portfolio-company/1/signature-dental-partners - News: Claims appeals cost hospitals up to $8.6 billion annually (Change Healthcare report, ~$118 per claim), ACDIS, 2017-06-29: https://acdis.org/articles/news-claims-appeals-cost-hospitals-86-billion-annually ## Voice perio charting at Heartland Dental: what a 27-office Bola AI pilot reported URL: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot Category: Clinical notes & scribes · Source label: Mixed · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. Bola AI ran a three-month pilot of its voice perio charting in 27 Heartland Dental-supported offices and reports that hygienists saved about 18.5 minutes a day and needed much less help from assistants. Offices that got set up quickly used it far more, and hygienists online describe reliability as mixed. ### At a glance - Practice: DSO-supported offices - Size: 27-office pilot - Location: United States - Tool: Bola AI Voice Perio - Cost: Conflicting figures - Source: Mixed ### Did it work? Results - Bola's case study reports that hygienists saved an average of 18.5 minutes per day. The study says this figure assumes an even mix of new and re-care patients. Our reading is that it is partly an estimate, not a straight stopwatch measurement. (https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf) - In Bola's survey, the share of hygienists who said they usually or always relied on a second hygienist or assistant to record probe results fell from 47% before the pilot to 16% with Bola. These are self-reported survey answers. (https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf) - A practice manager quoted in Bola's case study said hygienists no longer needed a dental assistant present during perio charting. That let the office book new patients even when no assistant would be available. (https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf) - According to Bola, every office that was installed, trained and had its microphones in under 10 days (9.83 days on average) completed more than 100 voice perio charts during the pilot. One of these offices did 40 charts in the week after setup. (https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf) - Bola reports a 9x revenue-based return on investment and a total value of $36,000 per office in treatment revenue. It attributes this to more complete perio charts and more full-quadrant (rather than localized) treatment. Our reading is that these are Bola's modeled revenue figures, not collections reported by the offices. (https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf) ### Who tried it, and why Recording probe readings during a perio exam usually takes a second person or interrupts the hygienist. Before the pilot, 47% of surveyed hygienists said they usually or always relied on a second hygienist or an assistant to record probe results. Bola's case study describes the alternatives: taking a glove off to type between readings, or writing readings on paper and entering them again later. Its narrative example is a hygienist who at times waited 10 to 15 minutes for help, which also took time from her co-workers. ### What did they set up? - The hygienist calls out pocket depths and other findings, and Bola's software enters them into the patient's chart in the practice management system as they speak. Per Bola's current product page, this is written directly and in real time, so no second person has to type. - 27 practices supported by Heartland Dental used it for three months (September to November 2022). Bola says it gave the raw data to a third-party analyst, who compared those months with May to July 2022. - Each office had to receive microphones, install the software and train staff. According to Bola, training and setup typically took 30 minutes or less once the microphones had arrived. - Patients hear the readings called out loud. One pilot hygienist said patients became engaged and curious about the numbers. ### What did it cost? Bola's case study lists average setup costs at the time of the study of $140 for microphones, plus staff time it values at $100 for install and $200 for training. Its summary gives an annual cost of $2,268 and does not say what that covers. Bola's own September 2023 press release says a monthly cost of $2,500 instead, so the two documents disagree. The press release also says a special discounted rate was available to Heartland Dental offices. Current pricing is not disclosed: Bola's Voice Perio page lists no price and directs visitors to book a demo. ### What didn't go well? - Offices with slow rollouts used it much less. Offices that took more than 10 days to get installed, trained and equipped averaged 31.8 days, and only 5-10% of them passed 50 voice charts during the pilot (Bola's case study). - Bola's own materials give conflicting cost and return figures. The case study PDF's summary gives $2,268 a year in cost against $22,500 a year in return, while a later page of the same PDF lists annual costs of $18,600 (present value). The press release says $2,500 a month in cost against $22,500 a month in return. Get your own price in writing. - Bola's marketing figures have grown since the study. Its current Voice Perio page claims 20+ minutes saved per hygienist per day and 10-15 minutes per perio exam, while the same page still cites 18.5 minutes a day from the Heartland study. - Our caveat: Bola ran and published the study. The analyst is not named and the analysis itself is not published. The data is from 2022. The press release says Heartland offices could get a special discounted rate. - Reports from r/DentalHygiene commenters (January 2026) are mixed. A Bola user says it works only about half the time. A hygienist says accuracy depends on microphone quality and operatory noise, and that there is a learning curve. Another hygienist, describing a voice system used about four years earlier, forgot to disconnect it, and small talk was picked up as numbers, so the whole chart was wrong. A hygienist using a different product (Denti.AI) said its perio charting usually works fine, but mistakes have to be caught quickly. - A different product: a clinical staff member at a practice that rolled out Avora (an AI scribe and voice perio tool) wrote on r/Dentistry (September 2026) that it costs them time instead of saving it, and that even its perio charting slows them down. According to the poster, nobody but the owner has bought into it, including the associate dentist. ### Takeaways - Measure your own baseline before you buy. Time a few full-mouth charts and count how often a hygienist has to pull in an assistant. Bola links the 18.5 minutes a day to cutting out that wait, so if your hygienists already chart alone without delays, expect less. - Plan to be live within 10 days of signing. Order the microphones, book the install and schedule training before the start date. In this pilot, offices that rolled out slowly used the tool far less. - Treat the ROI as Bola's model, not a guarantee. Bola's own documents disagree on cost, so get the price per hygienist, microphone costs, contract length and cancellation terms in writing. - Train for the known failure modes. Use good microphones, keep the operatory quiet, pause the tool during small talk, and have the hygienist watch the screen to catch wrong entries before saving. ### Prompt to try (written by us) Plan a 2-week voice perio trial before you sign ``` I'm the office manager at a dental practice with [number] hygienists using [practice management system]. We're evaluating a voice perio charting tool. Write me a 2-week trial plan I can run before signing a contract. Include: (1) a baseline log sheet to fill in the week before, covering minutes per full-mouth perio chart and how often a second team member is pulled in to type; (2) the same log for the trial weeks; (3) an accuracy spot-check where each hygienist compares 10 voice-entered charts with their own readings and notes any errors; (4) a setup timeline with dates so every hygienist is charting by day 10; (5) a list of questions for the vendor about price per hygienist, microphone costs, contract length, cancellation terms and how data is written into our practice management system. Give me a one-page checklist plus one simple table. Use no patient names, dates of birth or other identifiers anywhere. ``` ### Sources - Case Study with Heartland Dental: 9x Revenue-based Return On Investment (PDF), Bola AI, 2023-07 (file dated 230727): https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf - Heartland Dental Case Study Shows 9x ROI for Offices Using Bola AI Solution, Bola AI (press release), 2023-09-06: https://bola.ai/news/heartland-dental-case-study-shows-9x-roi-for-offices-using-bola-ai-solution/ - Voice Perio (product page), Bola AI, Accessed 2026-10-20 (page copyright 2025): https://bola.ai/solutions/voice-perio/ - Anyone use voice activated perio charting?, Reddit, r/DentalHygiene, 2026-01-23: https://www.reddit.com/r/DentalHygiene/comments/1qkw134/ - Why do I need 3 AI tools for dentistry now?, Reddit, r/Dentistry, 2026-09-04: https://www.reddit.com/r/Dentistry/comments/1w75z8v/ - Avora (company homepage), Avora, Accessed 2026-10-20: https://getavora.ai/ ## AI scribes for dental chart notes: dentists say templates first URL: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first Category: Clinical notes & scribes · Source label: Practitioner report · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. On r/Dentistry, the most specific praise for AI scribes came from people whose scribe fills in their own note templates, and a Tennessee dentist told a dental podcast the same tool cut his note time. The trouble came from open-bay microphones, record-upload-paste workflows, tools that degraded, and AI-drafted notes that had to be retyped. A King's College London study adds that clinicians should check every transcript. ### At a glance - Practice: Several dentists + 1 named - Size: Not stated - Location: Mostly unstated (TN, UK) - Tool: Overjet, Kiroku, Freed, others - Cost: Not disclosed (lists vary) - Source: Practitioner report ### Did it work? Results - A commenter whose office uses Overjet with its own templates for limited exams, new-patient exams and consults said the notes capture everything in detail and usually need only minor tweaks. Routine procedures still get plain templates. (https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/) - A Kiroku user set the voice-to-text feature to their own template. They said it saves time because notes get written right after the visit rather than after hours, and that it works well for new-patient consults and detailed pain histories. They added that it can also generate letters from the appointment. (https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/) - One practice built its own system. A local model fills in the blanks on a note form and adds a summary of the conversation, and the full conversation is kept and indexed on the office server. They said it finally works but took quite a bit of work to get right. (https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/) - A commenter who once tried an AI tool that writes the note said they ended up retyping half of it anyway. Having the AI fill in template blanks worked better for them. (https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/) - Tennessee dentist Dr. Giles Damron has used Freed, a general clinical AI scribe, for about two years to write detailed dental notes 'in a fraction of the time', according to the show notes of a July 2026 Very Dental episode that also featured Freed's co-founder. The show notes give no figure for the time saved. (https://dentalhacks.libsyn.com/group-function-erez-druk-and-dr-giles-damron) - In March 2025, a commenter said Dentistry Dashboard AI notes probably saves them about 30 minutes a day, mainly on exams, consultations and patient letters. A self-described co-creator of the tool later promoted it in another thread, so treat praise for this tool with some caution. (https://www.reddit.com/r/Dentistry/comments/1jg1z6z/anyone_really_using_ai_in_their_office/) - One dentist said templated notes already take them under a minute, and that they would never want active microphones in their operatories. Another said auto notes in the PMS are already quick. (https://www.reddit.com/r/Dentistry/comments/1vg6ueq/dental_notes_ai_experiences/) - A King's College London study of 10 speech-recognition systems on spoken orthodontic records found the most advanced ones were faster and more accurate than typing, saving up to 60% of the time. Clinically significant errors, such as misidentifying teeth or treatment plans, still occurred, and the researchers recommend that clinicians check and edit every transcript. (https://www.kcl.ac.uk/news/ai-speech-tools-could-revolutionise-dental-record-keeping-but-caution-is-needed-kings-study-finds) ### Who tried it, and why In an October 2026 r/Dentistry thread, a dentist said their office was considering Pearl for chart notes so the doctors wouldn't have to stay after work finishing them. Evenings already go to treatment planning and to emails for patients and specialists on large cases, and some assistants write poor notes. The rep said every operatory would get its own microphone and the AI would write the clinical note. This dentist likes their own detailed templates, which are usually quick, but sometimes stays an extra hour after a day of consults or large treatments. They couldn't find reviews online. Replies in this thread and in an August 2026 thread split sharply. One dentist said a templated note takes them under a minute, another said auto notes in the PMS are already quick, and a third asked why an assistant couldn't take the notes. Others said a scribe that fills in their templates had saved them real time. ### What did they set up? - Start from the templates you already use. The happiest commenters pointed the scribe at their own templates. One uses Overjet with the practice's templates for limited exams, new patients and consults, and fills in plain templates for routine procedures. Another set Kiroku to their own template instead of the generic one. - Pick how audio gets captured. Overjet says Voice listens through every visit. It says any microphone works but recommends a package of two microphones per operatory (a wireless model), and anything you want in the note has to be said out loud. A separate recorder such as Plaud means recording, uploading, running your template, then pasting into the PMS. DigitalTCO markets dictating after the patient leaves, with live recording as an option. - If you have open bays, test for cross-talk before rollout. One commenter said the operatory mics at their office picked up the next chair. - Get the paperwork done before any patient audio goes in. That means a signed Business Associate Agreement for the exact product and plan, written terms on how long audio is kept (Freed's FAQ says audio is deleted automatically once the note and quality checks are done), and patient consent that meets your state's rules. Overjet notes that consent requirements vary by state, and Freed's FAQ includes a sample script for asking patients. - Use the free trial. Freed offers 7 days; Kiroku, Dentistry Dashboard and DigitalTCO offer 14. DigitalTCO's founder also promises a refund if the first paid month doesn't save at least an hour a week. Try the scribe on consults and new-patient exams first, where notes run longest. - Review every note before it is final. Some tools keep notes out of the chart until you paste them in (Dentistry Dashboard says nothing reaches the PMS until you copy it). Overjet says Voice writes notes and perio data straight back into the practice's software, so the review has to happen there. ### What did it cost? None of the commenters said what they pay. List prices checked on 2026-10-20 (per clinician unless noted): Freed advertises plans 'starting at $39/mo', and its entry plan is capped at 40 notes a month. Its comparison table ticks 'Organization-wide BAA' for the Premier and custom-priced Groups plans, not Starter/Core. DigitalTCO lists $120/month in the US (£99 + VAT in the UK). Kiroku's pricing page shows only pounds and Australian dollars (£26.99 to £89.99 a month), and its US page says letters come with the Pro plan. Dentistry Dashboard AI Dental Notes is £40.99/month per dentist in the UK; it links to a US pricing page we didn't check. Plaud's NotePin recorder is $159. Its healthcare page lists a free starter plan with 300 transcription minutes a month, plus larger plans priced elsewhere. Overjet Voice pricing isn't published. In a May 2026 episode, podcast host Dr. Alan Mead explains why compliant AI scribing software carries a premium price: the vendor signs a BAA, which carries legal liability, and has to delete data promptly (per the show notes). Disclosure: the January 2025 podcast episode where Dr. Giles Damron introduced Freed listed his promo code DrDamron50 ($50 coupon) next to a tracked link (getfreed.sjv.io). The July 2026 episode carried the podcast's own code VERYDENTAL (50% off the first three months). ### What didn't go well? - Open-bay mic bleed: a commenter whose boss installed Overjet's microphones warned that in open operatories the system hears the next chair, which makes for a very confusing note. Overjet's Voice page recommends two microphones per operatory but doesn't address open bays. - Repeat errors: in the same August 2026 thread, another commenter said Overjet keeps making the same mistake and never learns. - Plaud's workflow friction: a commenter using a Plaud recorder said its visit summaries were remarkably accurate. But they had to upload each recording, run it through their templated instructions, then copy, paste and edit the result into the PMS, so they don't use it all the time. Plaud's healthcare page calls the product HIPAA compliant but doesn't say how to get a BAA. - DigitalTCO going wrong (UK thread, November 2025): a commenter said their team's DigitalTCO worked very well at first, then started writing nonsense for several of them on different accounts, so they cancelled. The original poster replied that someone they knew still found it useful. - The home-built route is real work: the practice running its own local model got a working fill-in-the-form system with indexed conversations, but said it took quite a bit of work to get right. - AI-drafted notes: the commenter whose tool wrote the note retyped half of it. Skeptics in the thread said notes shouldn't be educated guesses and joked about defending AI-written notes in a lawsuit. - Oversimplified HIPAA claims in the August 2026 thread. One commenter said neither Claude nor OpenAI is HIPAA compliant, and another said Claude Enterprise is HIPAA compliant for $25 a month. Both oversimplify. Under HIPAA, a practice may disclose patient information to a vendor (a business associate) only after getting satisfactory assurances documented in a written agreement, usually a BAA (45 CFR 164.502(e)). Anthropic's BAA covers HIPAA-ready Claude Enterprise organizations (the Primary Owner has to switch HIPAA on and accept the BAA), HIPAA-ready API organizations and Claude in Microsoft Foundry. The $25 figure is Claude's Team Standard seat billed monthly, and Team isn't on that list. Enterprise lists $20 per seat per month billed annually, with a 20-seat minimum plus usage. A HIPAA guide from Medcurity says OpenAI offers BAAs only for zero-data-retention API setups and sales-managed ChatGPT Enterprise/Edu, not for Free, Plus, Pro, Team or self-serve Business. - Forum noise: in December 2025, in the UK thread, a self-described co-creator of Dentistry Dashboard offered an extended trial six minutes after a user said they had switched to it. Other comments read like vendor pitches, so we left them out. ### Takeaways - Templates first. The most specific positive reports came from commenters whose scribe fills in their own templates. The one person who described an AI drafting the note retyped half of it. Make your templates good before you buy anything. - Use AI where the conversation is long: consults, new patients, limited exams with a pain history. Commenters keep routine procedures on plain templates, which one dentist says already take under a minute. - Test microphones in your real operatories. Open bays can mix the next chair's conversation into a note. - Count the clicks. A tool that needs record, upload, run and paste won't get used every day, however accurate the summary is. - No product is HIPAA compliant just because its website says so. Get a signed BAA for the specific plan you'll use, written audio-retention terms, and patient consent that meets your state's rules. Claude Team and ChatGPT's consumer and Team plans aren't on their vendors' BAA lists. - Compliant scribes cost more than consumer recorders. Published list prices run roughly $39 to $120 a month per clinician, and most tools offer 7 to 14 day trials. - Read, edit and sign every note. Check tooth numbers and treatment plans first: the King's College study found even good systems can get these wrong. - Discount forum praise from accounts linked to vendors, and remember that podcast recommendations can come with promo codes. ### Prompt to try (written by us) Turn your note template into scribe instructions ``` I'm a dentist setting up an AI scribe. Below is one of my existing chart-note templates (for example: limited exam, new-patient exam, or consult). It contains no patient information. Rewrite it as instructions for an AI scribe that will listen to the appointment and fill in this template. Follow these rules: 1. Keep my headings, their order and my wording exactly. Do not add or remove sections. 2. Under each blank, say in plain words what the scribe should listen for. 3. If something was not said out loud during the visit, the scribe must write [NOT DISCUSSED]. It must never guess or insert a 'normal' default. 4. Tooth numbers, surfaces, quadrants, perio readings, medications and doses are written only exactly as heard. If anything is unclear, write [CHECK]. 5. End every note with: 'Draft - reviewed, edited and signed by Dr. ____'. Then list the 5 places in my template where an AI scribe is most likely to make a mistake, so I know what to check first when I review each note. [Paste your template here] ``` ### Sources - AI for chart notes (r/Dentistry thread), Reddit r/Dentistry, 2026-10-19: https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/ - Dental Notes AI Experiences? (r/Dentistry thread), Reddit r/Dentistry, 2026-08-05: https://www.reddit.com/r/Dentistry/comments/1vg6ueq/dental_notes_ai_experiences/ - Dental notes AI (r/Dentistry thread, UK dentist), Reddit r/Dentistry, 2025-11-02: https://www.reddit.com/r/Dentistry/comments/1ome6fu/dental_notes_ai/ - Anyone really using AI in their office? (r/Dentistry thread), Reddit r/Dentistry, 2025-03-20: https://www.reddit.com/r/Dentistry/comments/1jg1z6z/anyone_really_using_ai_in_their_office/ - Archived comments for 'AI for chart notes', Arctic Shift Reddit archive, 2026-10-20 (accessed): https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1xa9d4f&limit=100 - Archived comments for 'Dental Notes AI Experiences?', Arctic Shift Reddit archive, 2026-10-20 (accessed): https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1vg6ueq&limit=100 - Group Function: From Hours to Minutes with Erez Druk and Dr. Giles Damron, The Very Dental Podcast Network (Libsyn), 2026-07-17: https://dentalhacks.libsyn.com/group-function-erez-druk-and-dr-giles-damron - Group Function: From Hours to Minutes with Erez Druk and Dr. Giles Damron (episode page), Apple Podcasts, 2026-07-17: https://podcasts.apple.com/us/podcast/group-function-from-hours-to-minutes-with-erez-druk-and/id891079773?i=1000777192401 - Very Dental: An AI Revolution in Chart Notes with Dr. Giles Damron, The Very Dental Podcast Network (Libsyn), 2025-01-10: https://dentalhacks.libsyn.com/very-dental-an-ai-revolution-in-chart-notes-with-dr-giles-damron - AME: Better Chart Notes with AI, The Very Dental Podcast Network (Libsyn), 2026-05-25: https://dentalhacks.libsyn.com/ame-better-chart-notes-with-ai - Freed pricing, Freed, 2026-10-20 (accessed): https://www.getfreed.ai/pricing - Overjet Voice, Overjet, 2026-10-20 (accessed): https://overjet.com/solutions/voice - Overjet brings the future of dental documentation to every operatory with general availability of Overjet Voice, Overjet, 2026-01-28: https://www.overjet.com/blog/overjet-brings-the-future-of-dental-documentation-to-every-operatory-with-general-availability-of-overjet-voice - Overjet adds voice-powered clinical documentation through DentalBee acquisition (press release), Healthcare Dive, 2025-12-02: https://www.healthcaredive.com/press-release/20251126-overjet-adds-voice-powered-clinical-documentation-through-dentalbee-acquisi-1/ - Kiroku pricing, Kiroku, 2026-10-20 (accessed): https://www.trykiroku.com/pricing - Dental notes that feel like magic (US page), Kiroku, 2026-10-20 (accessed): https://www.trykiroku.com/home-us - Dentistry Dashboard: AI Dental Notes and Practice Hub, Dentistry Dashboard, 2026-10-20 (accessed): https://dentistrydashboard.com - DigitalTCO: the AI dental scribe, DigitalTCO, 2026-10-20 (accessed): https://digitaltco.co.uk - Plaud solution for healthcare, Plaud, 2026-10-20 (accessed): https://global.plaud.ai/pages/solution-for-healthcare - Business Associate Agreements (BAA) for commercial customers, Anthropic (Claude Help Center), 2026-10-20 (accessed): https://support.claude.com/en/articles/8114513 - Claude pricing, Anthropic, 2026-10-20 (accessed): https://claude.com/pricing - Is ChatGPT HIPAA Compliant? What Healthcare Teams Need to Know in 2026, Medcurity, 2026 (no exact date; accessed 2026-10-20): https://medcurity.com/is-chatgpt-hipaa-compliant/ - 45 CFR 164.502 - Uses and disclosures of protected health information: general rules, Cornell Law School Legal Information Institute, 2026-10-20 (accessed): https://www.law.cornell.edu/cfr/text/45/164.502 - AI speech tools could revolutionise dental record keeping but caution is needed, King's study finds, King's College London, 2025-11-03: https://www.kcl.ac.uk/news/ai-speech-tools-could-revolutionise-dental-record-keeping-but-caution-is-needed-kings-study-finds ## 5 office tasks dentists hand to ChatGPT and Claude, and the rules they set URL: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks Category: Prompt library · Source label: Practitioner report · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. Across five Reddit threads from 2025 and 2026, dentists name the admin work they give to general chatbots: dismissal letters, tone fixes, appeal first drafts, templates and number-crunching. They also hold to a short set of rules about what stays out of the chat. Connecting the practice management system to a chatbot is where agreement ends. ### At a glance - Practice: Anonymous dentists (Reddit) - Size: Not stated (many practices) - Location: Not stated (online forums) - Tool: ChatGPT and Claude - Cost: Not disclosed - Source: Practitioner report ### Did it work? Results - In a February 2025 r/Dentistry thread on how ChatGPT changed people's practice, the top-scored practical reply (28 points in the archive snapshot) was writing patient dismissal letters. A second dentist said they do the same and asked whether that might be the only real use. (https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/) - In the same thread, one dentist said they use ChatGPT to make notes and replies to problem patients sound more professional, and for appeal letters. They treat it as a first draft and warned against including PHI. Others use it for patient letters and emails, including a recommendation letter for an RDA applying to hygiene school. (https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/) - A dentist in a January 2025 thread described the same use: it makes notes about awkward situations sound more professional and writes first drafts of emails, with no PHI entered. (https://www.reddit.com/r/Dentistry/comments/1htr3zk/anyone_using_any_ai_notes_software_in_dentistry/) - One commenter called ChatGPT great for consent forms, templates and post-op instructions. A reply said the practice's malpractice carrier should already provide resources like these. (https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/) - One commenter said they used ChatGPT to analyze their P&L and come up with a strategy for profitability. Two people asked for details, but none appear in the archived thread. (https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/) - The most-upvoted comment in the January 2025 thread (50 points) came from a dentist who asked ChatGPT exactly what to write on a crown claim to get it approved. According to the dentist, ChatGPT replied that doing so would be unethical. (https://www.reddit.com/r/Dentistry/comments/1htr3zk/anyone_using_any_ai_notes_software_in_dentistry/) - Two comments (14 and 7 points) warned against using ChatGPT to check drug interactions. One called it unsafe; the other pointed to professional resources such as UpToDate. (https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/) - In June 2026 a dentist evaluating practices said they had been using AI more because their CPA's bills are high. They still use their CPA but find chat quicker and cheaper for low-level assessments. Commenters warned that uploading the data could breach an NDA unless the user has a business license with the AI company, and said to redact everything. One noted that Claude can drift over a long chat and work from assumptions the user can't see. That commenter suggested narrow prompts, such as what the procedure mix says about the practice's treatment philosophy, instead of asking whether it is a good practice to buy. (https://www.reddit.com/r/Dentistry/comments/1ui79wk/using_chatclaudeai_to_help_evaluate_practice/) - In the same thread, a commenter whose firm reviews practice deals (and offers prospective clients a no-cost look) said they have talked with clients who were materially misled by AI. (https://www.reddit.com/r/Dentistry/comments/1ui79wk/using_chatclaudeai_to_help_evaluate_practice/) - In October 2026 a poster in r/Dentistry reported that Claude wrote Python add-ons for Blender. They turn a shell into a base model, design basic aligners, automate baseplate design and design custom impression trays. The denture-duplicating add-on wasn't particularly good. Another commenter uses AI for RPD design: they enter the missing teeth and adjust the ideal design it returns as needed. (https://www.reddit.com/r/Dentistry/comments/1x6cyxg/finally_found_a_real_use_for_ai/) - Sidebar: a June 2026 r/Dentists post described a home-built MCP bridge between Open Dental and Claude, offered for marketing ROI, dashboards and schedule questions. Commenters raised HIPAA and BAA objections, and one suggested starting with schedule and production dashboards rather than notes or patient messages. Another said Open Dental support told them there were no current plans to integrate with Claude or ChatGPT. The builder later said the guide would not be shared publicly. (https://www.reddit.com/r/Dentists/comments/1u2waz4/having_opendental_in_claude/) - Sidebar: Dentalpreneur Podcast show notes say Dr. Bill Keith explained how a 20-op practice outside Kansas City uses AI, and mention his background in accounting and finance. The talk covered SQL queries, Open Dental integration, real-time marketing automation, building a custom AI receptionist and analyzing big data with ChatGPT. (https://markcostes.libsyn.com/2242-ai-applications-in-the-dental-office-pt-1) - Sidebar: the part 2 show notes say Dr. Keith uses ChatGPT, Canva and a custom voice assistant named Abby, analyzes data from Open Dental, writes SQL queries in seconds, and has AI bots summarize 200-page legal contracts. (https://markcostes.libsyn.com/2243-ai-applications-in-the-dental-office-pt-2) - The ADA's patient-dismissal guidance says to develop a template letter. The letter should state the cause objectively, tell the patient to find another provider, and say how many days the practice will remain available for emergencies. The guidance also says to consult state law and the state dental practice act, never dismiss for a legally impermissible discriminatory reason, and document all patient communications. (https://www.ada.org/en/resources/practice/practice-management/managing-patients-dismissal) - CDA guidance from August 2025, written by its HIPAA compliance partner Abyde, says dentists should never put patient data into the free public ChatGPT. Whichever version is used, it says to de-identify data and enter only the minimum necessary. Any vendor that can access PHI must sign a BAA, and a clinician should review every AI output. (https://www.cda.org/newsroom/endorsed-services/ai-in-dentistry-what-are-the-hipaa-violation-risks/) - Anthropic's BAA page covers its HIPAA-ready commercial services, such as the first-party API and Enterprise plans where the Primary Owner activates HIPAA compliance and accepts the BAA. It lists local MCP servers among features that are not covered, and sends consumer plans to a separate article. (https://support.claude.com/en/articles/8114513-business-associate-agreements-baa-for-commercial-customers) ### Who tried it, and why Writing and admin work falls on the dentist or office manager. That includes letters ending a patient relationship, replies to angry patients, insurance appeals, consent and post-op templates, and reading a P&L or a broker's packet for a practice that's for sale. A dental student asked r/Dentistry in February 2025 how ChatGPT had changed people's practice. Many of the replies said it hadn't changed anything, since the chairside work is manual and note templates already exist. The same few office tasks kept coming up anyway, there and in later threads, along with rules other dentists insisted on. ### What did they set up? - Task 1: patient dismissal letters. This was the top-scored practical reply in the February 2025 r/Dentistry thread. One dentist said they use it to write dismissal letters, and a second replied that they do too. - Task 2: tone fixes. Dentists in two separate threads (January and February 2025) use it to make chart-note wording and replies to difficult patients sound more professional. They also use it for first drafts of routine emails and letters, including letters of recommendation for staff (one for an RDA applying to hygiene school, one for an employee who left). - Task 3: insurance appeal letters. One dentist uses ChatGPT for appeal letters, treats the output as a first draft, and warns against entering any protected health information. - Task 4: templates. One commenter called it great for consent forms, post-op instructions and other office templates. - Task 5: numbers. One commenter used ChatGPT to analyze their practice P&L and come up with a profitability strategy. In June 2026 a dentist evaluating practices to buy said they use AI chat tools (the thread title names Chat and Claude) for low-level assessments because their CPA's bills are high. They still use the CPA. - Outside the office (October 2026): a poster in r/Dentistry had Claude write Python add-ons for Blender. The add-ons turn a shell into a base model, design simple aligners, automate baseplates, design custom impression trays and duplicate dentures. The denture add-on, by the poster's account, wasn't particularly good. Another commenter uses AI to work out RPD designs from the missing teeth. - The community's rules: keep PHI out of the chat. Treat output as a first draft. Look up drug interactions in a clinical reference such as UpToDate, not ChatGPT. Don't ask it how to word a claim so it gets paid; one dentist said ChatGPT called that unethical. With deal data, check the NDA, redact everything and ask narrow questions. - Sidebar, advanced and risky (connecting your PMS), part 1: in June 2026 a dentist's husband posted in r/Dentists that he had built a local MCP server bridging Open Dental and Claude. His examples were mapping marketing data to ROI, building recommendations and dashboards for his wife, and asking Claude about the schedule. Commenters objected on HIPAA grounds, saying it isn't compliant without a BAA with Anthropic or fully stripped PHI. He later said the guide he had offered would not be shared publicly. - Sidebar, part 2: in two May 2025 Dentalpreneur Podcast episodes, Dr. Bill Keith described how a 20-op practice outside Kansas City uses AI. The show notes mention ChatGPT, Canva and a custom voice assistant named Abby. They also mention writing SQL queries in seconds and analyzing data from Open Dental, but don't say which tool writes the SQL. We have only the show notes and did not listen to the episodes. ### What did it cost? Not disclosed. Everyone described using general chatbot accounts and nobody gave a price, except the Open Dental bridge builder, who put his Claude cost at under $20 a month. Nobody said they were on a plan covered by a HIPAA business associate agreement (BAA). Commenters in two threads did say a business account or a BAA would be needed before sharing sensitive data. ### What didn't go well? - Many dentists see little use for it. Several replies in the February 2025 thread said they don't use it at all, because the job is mostly manual. Others said good note templates or auto-notes already cover documentation. - One dentist said ChatGPT refused to help word a crown claim so it would get approved, and called that unethical. That was the top comment in its thread. - The student who started the thread, and another student, said they use ChatGPT for drug interactions. Practicing dentists called that unsafe and pointed to UpToDate. - AI-drafted consent forms and post-op instructions were challenged: one reply said the malpractice carrier should supply vetted versions. - For practice-purchase reviews, commenters raised NDA exposure. They also warned that Claude can drift over long chats or work from assumptions the user can't see. An adviser said clients had been materially misled by AI. - The Blender denture-duplication add-on did not work well. Someone asked whether AI implant identification was accurate, and nobody answered. - The Open Dental to Claude bridge drew HIPAA and BAA objections that the thread never resolved. After the builder withdrew the guide, requests for it kept coming through October 2026 with no further reply from him in the archive. - Nobody reported hours saved or any measurable result. These are anecdotes, often one-liners. ### Takeaways - Start with non-clinical writing. Dismissal letters, tense replies, recommendation letters and routine emails are the uses dentists themselves endorse. - Keep PHI out of the chat. Draft with placeholders, then add names and details in your PMS or letterhead. - Treat every output as a first draft. Before sending a dismissal letter, check the ADA points (an objective reason, an emergency-availability period, no discriminatory grounds) and your state's rules. - Don't use a general chatbot for drug interactions. Use a clinical reference such as UpToDate. - Use AI to organize a documented appeal, not to ask what wording gets a claim paid. - For P&Ls and practice-sale packets, check the NDA first, redact, ask narrow questions, and keep your CPA. - Connecting your PMS (an MCP bridge, or pulling query results into a chatbot) is a different risk class from drafting letters. CDA guidance and the objections in the thread both point to a BAA before any patient data is involved, and Anthropic lists local MCP servers among the features its BAA doesn't cover. Get a compliance review before trying it. ### Prompt to try (written by us) Patient dismissal letter template (no patient data) ``` You are helping a US dental office draft a reusable patient dismissal letter TEMPLATE. Do not ask me for, and do not include, any real patient name, date of birth, account number, balance, appointment history or treatment details. Use bracketed placeholders only. Write a short, courteous, impersonal letter (under 200 words) using these placeholders: [DATE], [PATIENT NAME], [PATIENT ADDRESS], [PRACTICE NAME], [DENTIST NAME], [PRACTICE PHONE], [EFFECTIVE DATE], [NUMBER OF DAYS]. The letter must: 1. Give the reason in one neutral, factual sentence, chosen from [REASON: repeated missed appointments / unpaid balance after repeated notices / conduct toward staff / breakdown of the dentist-patient relationship]. No blame, no adjectives, no clinical details. 2. Say clearly that the patient should find another dentist, and offer help with a referral [OPTIONAL: local dental society contact]. 3. Say we will remain available for emergency care for [NUMBER OF DAYS] days from [EFFECTIVE DATE]. 4. Explain how to have a copy of their records sent to the new dentist: [RECORDS REQUEST PROCESS]. 5. Encourage the patient to continue any needed care with the new dentist, without describing that care. 6. End politely with a signature block for [DENTIST NAME]. After the letter, give me a separate checklist of what I must confirm before using it: our state's required emergency-availability period, that the reason is not discriminatory, whether the patient is mid-treatment or has an urgent problem, how we will send it and prove delivery, what we will note in the chart, and whether our malpractice carrier or attorney should review the template. Do not give legal advice; flag anything I should check with them. ``` ### Sources - How has ChatGPT changed the way you practice dentistry?, Reddit, r/Dentistry, 2025-02-08: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ - Anyone using any Ai notes software in dentistry and how have you found it ?, Reddit, r/Dentistry, 2025-01-04: https://www.reddit.com/r/Dentistry/comments/1htr3zk/anyone_using_any_ai_notes_software_in_dentistry/ - Using Chat/Claude/AI to help evaluate practice?, Reddit, r/Dentistry, 2026-06-28: https://www.reddit.com/r/Dentistry/comments/1ui79wk/using_chatclaudeai_to_help_evaluate_practice/ - Finally found a real use for ai, Reddit, r/Dentistry, 2026-10-15: https://www.reddit.com/r/Dentistry/comments/1x6cyxg/finally_found_a_real_use_for_ai/ - Having Opendental in claude, Reddit, r/Dentists, 2026-06-11: https://www.reddit.com/r/Dentists/comments/1u2waz4/having_opendental_in_claude/ - 2242: AI Applications in the Dental Office Pt. 1 (show notes), The Dentalpreneur Podcast w/ Dr. Mark Costes, 2025-05-08: https://markcostes.libsyn.com/2242-ai-applications-in-the-dental-office-pt-1 - 2243: AI Applications in the Dental Office Pt. 2 (show notes), The Dentalpreneur Podcast w/ Dr. Mark Costes, 2025-05-09: https://markcostes.libsyn.com/2243-ai-applications-in-the-dental-office-pt-2 - Patient dismissal, American Dental Association, Undated (accessed 2026-10-20): https://www.ada.org/en/resources/practice/practice-management/managing-patients-dismissal - AI in dentistry: What are the HIPAA violation risks?, California Dental Association (Endorsed Services, Abyde), 2025-08-27: https://www.cda.org/newsroom/endorsed-services/ai-in-dentistry-what-are-the-hipaa-violation-risks/ - Business Associate Agreements (BAA) for Commercial Customers, Anthropic (Claude Help Center), Updated week of 2026-10-20 (accessed 2026-10-20): https://support.claude.com/en/articles/8114513-business-associate-agreements-baa-for-commercial-customers ## Cosmetic dentist says AI found the redirects her website rebuild missed URL: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects Category: Marketing & reviews · Source label: Practitioner report · Published: 2026-10-20 Published by Svarvik, a Gothenburg agency that builds AI automations for dental practices. After a rebrand and an outsourced website rebuild, a Chicago cosmetic dentist says her site brought in almost no cosmetic consults for about a year. According to the show, an AI assistant she built found the cause: the old pages had never been redirected. She reports 17 consults in the month after the fix. All of this is self-reported on a podcast, and the show's own write-ups give different numbers. ### At a glance - Practice: Fee-for-service cosmetic - Size: 1 dentist; team not stated - Location: Chicago, IL - Tool: OpenClaw agent + Claude - Cost: Not disclosed - Source: Practitioner report ### Did it work? Results - Before the fix, her website produced zero website-driven cosmetic consults for nearly a year after the rebuild (self-reported, episode 628 notes). (https://www.thedentalmarketer.site/podcast/628) - After the fix, website traffic reportedly jumped 400% overnight and the site generated 17 consults in the first month (self-reported, no analytics shown). (https://www.dentaltown.com/channel/post/27006/when-is-a-full-rebrand-worth-it-for-a-boutique-cosmetic-practice-dr-brittany-dickinson-628) - The show's July write-up gives different figures: website traffic doubled within a month, and cosmetic consults went from around 3 a month to 17. (https://www.dentaltown.com/channel/post/26279/ai-dental-seo-from-zero-cosmetic-consults-to-17-dr-brittany-dickinson-ff) - The July episode notes describe the change as going from zero cosmetic consults a month to 17 and counting, and say AI helped her save thousands of dollars. No breakdown is given. (https://www.thedentalmarketer.site/podcast/ff-29) - The cause, per the July write-up: nearly all of the old website's pages had never been redirected. The AI assistant reportedly found this a few hours after she asked it to review everything. (https://www.dentaltown.com/channel/post/26279/ai-dental-seo-from-zero-cosmetic-consults-to-17-dr-brittany-dickinson-ff) ### Who tried it, and why Dr. Brittany Dickinson owns a fee-for-service practice in Chicago focused on cosmetic dentistry. She rebranded it from Sugar Fix Dental Loft to a brand under her own name, and an outside vendor rebuilt the website. According to the show's October write-up, traffic then disappeared. She was told SEO takes time, so she waited. The October episode notes say she got zero website-driven cosmetic consults for nearly a year. The July write-up says she waited over a year for SEO to 'kick in', paid thousands for SEO, and saw new-patient numbers keep falling. The October write-up adds that the vendor was producing content about general dentistry, even though she was trying to attract cosmetic patients. ### What did they set up? - She built a personal AI assistant called Sophie. She installed OpenClaw (an open-source agent framework) locally, connected Claude as the model, and talks to the assistant through Telegram (episode 628 notes). - Before that she had used ChatGPT for about two years, and she moved that history over to Claude (episode 628 notes). - She trained the assistant on her own content, her voice and her practice goals, then used it to uncover the SEO problems and rebuild her marketing (episode 628 notes). - According to the show's July write-up, she asked an AI assistant to review everything. A few hours later it reported that nearly all of her old website pages had never been redirected, so the old site's search authority had essentially disappeared. - The October write-up says she fixed the issue herself with the help of AI. Neither write-up says who made the technical changes to the site. - The host's own lessons from the conversation (October write-up), which are not described as her process: before hiring a vendor, agree on what success should look like at 30, 60, 90 and 180 days. Each month, ask what was done, where you can see it, and what changed because of it. - Our own check on 2026-10-20: the old domain (sugarfixdental.com) and one old URL we tested (/veneers) return permanent (301) redirects to chicagoaestheticdentistry.com. /veneers ends at /veneers-chicago after one extra hop. This fits the account that redirects were later added, but we can't tell from outside when. ### What did it cost? Not disclosed. The July write-up says she paid thousands for SEO, and the July (FF) episode notes say AI helped her save thousands of dollars. Neither figure is broken down. No cost is given for the AI setup. OpenClaw is open-source; the episode notes don't say what she pays for Claude or anything else. ### What didn't go well? - The vendor's rebuild left most of the old site's SEO value unconnected to the new site. When traffic fell, she was told SEO takes time and waited more than a year before the problem was found. - According to the host's write-up, the vendor was writing content aimed at general dentistry, while she wanted cosmetic patients. There was activity, but it was aimed at the wrong patients. - The numbers don't agree across the show's own materials. The July write-up says traffic doubled within a month and consults went from around 3 to 17 a month. The July episode notes say from zero a month to 17. The October materials say zero website-driven consults for nearly a year, a 400% overnight traffic jump and 17 consults in the first month. No analytics or Search Console data are shown, and there is no transcript. - The July materials, which cover the audit, don't name the AI tool. OpenClaw, Claude, Telegram and her earlier ChatGPT use appear only in the October notes. So the link between this audit and that setup comes from the later episode. - The redirect detail appears only in the July Dentaltown write-up. The 628 episode page mentions only 'one missed technical setup', and the October write-up says the old site's SEO value was never properly connected. None of this is a transcript of her own words. ### Takeaways - The most useful part of this story is that she used AI to check what happened, not to write more posts. The host highlights that she used it to investigate her website and find a problem she didn't know to look for. - "SEO takes six months" is a deadline, not a plan. Before signing with a vendor, agree on what should improve at 30, 60, 90 and 180 days (indexed pages, impressions, clicks, calls, consult requests). Then ask each month what was done, where you can see it, and what changed. - After any rebuild, rebrand or domain change, check the redirects first. Google's site-move guidance says to map old URLs to the new ones and use permanent server-side redirects such as 301. It also says to use the Change of Address tool in Search Console when the domain changes, and to keep the redirects generally for at least a year. - Check that your website, Google Business Profile, social posts and ads describe the practice you run today, not the one you ran two or three years ago. - You don't need an agent framework for this kind of audit. Pasting a list of old URLs and a Search Console export into a general chat assistant is a lower-risk place to start (our suggestion). Self-hosted agents like OpenClaw need care: IBM X-Force (April 2026) describes broad permissions, indirect prompt-injection risk, over 1,100 malicious skills uploaded to its ClawHub marketplace, and a hijacking flaw patched in February 2026. - Visibility now includes AI answers too. In a March 2026 r/Dentists thread, the owner of an 11-year family practice with about 400 Google reviews found ChatGPT recommending a three-year-old practice with about half as many reviews. Several replies, many from people selling marketing or AI-visibility services, pointed to what other websites and sources say about a practice, not just Google reviews. Hold those vendors to the same benchmark rule. ### Prompt to try (written by us) Post-rebuild website and SEO audit, with benchmarks to hold your vendor to ``` I own a dental practice. Our website was rebuilt or moved to a new domain around [month/year] by an outside vendor. Since then [describe what happened, e.g. fewer calls or consult requests from the website, or 'I just want to confirm it was done right']. Act as an independent auditor who works for me, not for the vendor. Do not guess. If you can't confirm something from what I give you, say so and tell me exactly how to check it myself, step by step. What I'm giving you: 1. Our OLD page URLs (from the old sitemap.xml, a Google Search Console Pages export, or the Wayback Machine): [paste] 2. Our NEW sitemap or page list: [paste] 3. If I have it, the result of testing each old URL (status code and final destination): [paste] 4. Our Google Business Profile details: website link, primary and secondary categories, listed services: [paste] 5. How we track leads: analytics tool, call-tracking numbers, form or online-booking conversions: [paste] 6. What the vendor says they did and what their monthly report shows: [paste] 7. The patients and treatments we want more of (e.g., veneers, Invisalign, implants): [describe] Check and report on: - Redirects: does every old page that had traffic or links permanently (301) redirect to the closest matching new page, not just the homepage? List any 404s, redirect chains or loops. Are the www/non-www and http/https versions covered? If the domain changed, was a Change of Address submitted in Search Console? - Indexing: does robots.txt allow the new site? Are there any stray noindex tags? Is a sitemap submitted in Search Console? Are our main service pages indexed? - Google Business Profile: does the website link point to the new domain (ideally with UTM tags)? Do the categories and services match the treatments in item 7? - Tracking: do analytics, call tracking and form/booking conversions work on the new site, so website leads can be told apart from other sources? Are our practice name, address and phone the same everywhere? - Content fit: do the main pages and recent posts target the patients in item 7, or generic dentistry? Then give me: A) A prioritized fix list (critical / important / nice to have), each item with how I can check it's done. B) Plain-language questions to send the vendor this week. C) Specific benchmarks the vendor should commit to at 30, 60, 90 and 180 days (indexed pages, impressions, clicks, calls, consult requests), so that waiting for SEO comes with checkpoints. Do not ask for or include any patient information. ``` ### Sources - AI Dental SEO: From Zero Cosmetic Consults to 17+ | Dr. Brittany Dickinson | FF (show notes), The Dental Marketer Podcast, 2026-07-20 (RSS feed date): https://www.thedentalmarketer.site/podcast/ff-29 - When Is a Full Rebrand Worth It for a Boutique Cosmetic Practice? | Dr. Brittany Dickinson | 628 (show notes), The Dental Marketer Podcast, 2026-10-08 (RSS feed date): https://www.thedentalmarketer.site/podcast/628 - AI Dental SEO: From Zero Cosmetic Consults to 17+ (episode write-up), Dentaltown (The Dental Marketer channel), 2026-07-20: https://www.dentaltown.com/channel/post/26279/ai-dental-seo-from-zero-cosmetic-consults-to-17-dr-brittany-dickinson-ff - When Is a Full Rebrand Worth It for a Boutique Cosmetic Practice? (episode write-up), Dentaltown (The Dental Marketer channel), 2026-10-08: https://www.dentaltown.com/channel/post/27006/when-is-a-full-rebrand-worth-it-for-a-boutique-cosmetic-practice-dr-brittany-dickinson-628 - The Dental Marketer podcast RSS feed (episode dates and audio files), The Dental Marketer Podcast, Accessed 2026-10-20: https://dynamic.s8e8.com/tdm/feed/cache/podcast.xml - Rise of a Cosmetic Dentist: Balancing Work and Life in Chicago | Dr. Brittany Dickinson | 517, The Dental Marketer Podcast, Date not shown: https://thedentalmarketer.site/podcast/517 - Dr. Brittany Dickinson practice website (Chicago Aesthetic Dentistry), Practice website, Accessed 2026-10-20: https://chicagoaestheticdentistry.com/ - Site moves with URL changes, Google Search Central, Last updated 2026-08-20: https://developers.google.com/search/docs/crawling-indexing/site-move-with-url-changes - What OpenClaw reveals about agentic AI security risks, IBM X-Force (Think), 2026-04-23: https://www.ibm.com/think/x-force/what-openclaw-reveals-about-agentic-ai-security-risks - A patient almost went elsewhere because ChatGPT recommended another practice (thread), Reddit r/Dentists (read via Arctic Shift archive), 2026-03-05: https://www.reddit.com/r/Dentists/comments/1rlfflb/one_of_my_recent_patients_told_me_that_they/ ## Tools named in the case studies Index: https://howdentistsuse.ai/tools/ - [Arini](https://howdentistsuse.ai/tools/arini): [wolfe-dental-arini-ai-receptionist-overflow-after-hours](https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours) - [Dental Intelligence](https://howdentistsuse.ai/tools/dental-intelligence): [dental-intel-vs-mango-margo-add-on-ai-receptionist](https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist) - [Mango Voice Margo](https://howdentistsuse.ai/tools/mango-margo): [dental-intel-vs-mango-margo-add-on-ai-receptionist](https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist) - [Overjet](https://howdentistsuse.ai/tools/overjet): [bridge-mill-dental-overjet-ai-insurance-verification](https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification), [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [DentalXChange Eligibility AI](https://howdentistsuse.ai/tools/dentalxchange): [dentalxchange-eligibility-ai-cancelled-crown-coverage-error](https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error) - [Thoughtful AI](https://howdentistsuse.ai/tools/thoughtful-ai): [signature-dental-partners-thoughtful-ai-clean-claims](https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims) - [Bola AI](https://howdentistsuse.ai/tools/bola-ai): [heartland-dental-bola-voice-perio-charting-pilot](https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot) - [Kiroku](https://howdentistsuse.ai/tools/kiroku): [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [Freed](https://howdentistsuse.ai/tools/freed): [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [Plaud](https://howdentistsuse.ai/tools/plaud): [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [DigitalTCO](https://howdentistsuse.ai/tools/digitaltco): [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [Dentistry Dashboard](https://howdentistsuse.ai/tools/dentistry-dashboard): [ai-scribes-dental-notes-templates-first](https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - [ChatGPT](https://howdentistsuse.ai/tools/chatgpt): [dentists-chatgpt-claude-five-office-tasks](https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks), [cosmetic-dentist-ai-seo-audit-missing-redirects](https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects) - [Claude](https://howdentistsuse.ai/tools/claude): [dentists-chatgpt-claude-five-office-tasks](https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks), [cosmetic-dentist-ai-seo-audit-missing-redirects](https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects) - [OpenClaw](https://howdentistsuse.ai/tools/openclaw): [cosmetic-dentist-ai-seo-audit-missing-redirects](https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects) Lines in the cases that do not get a tool page are listed on the tools index. ## Comparisons The only side-by-side comparison is the existing case https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Dental Intelligence and Mango Voice Margo). Index: https://howdentistsuse.ai/compare Kiroku and Freed are both named in the scribes roundup. That case is not a side-by-side trial, so they are not compared. ## Glossary URL: https://howdentistsuse.ai/glossary - **Write-back.** Writing a change from the phone system or the AI into the practice management system, instead of only leaving a note for staff. The Mango Voice case uses the term for Margo and Open Dental: the office says Margo takes notes but cannot act on them. (https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist) - **PMS.** Short for practice management system, the software that holds the schedule and the chart. The case studies use PMS for that system. Open Dental is the system named when a front-desk case says which one the office runs. The LA-area case and the Mango case both name Open Dental. (https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit) - **BAA.** A business associate agreement. In these case studies it is the written agreement discussed before a vendor handles patient information. The scribe roundup and the ChatGPT and Claude case both say to check which plan includes one. The scribe case also says a product page can call itself HIPAA compliant without saying how to get a BAA. (https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - **Ambient notes.** Notes drafted from audio recorded during the visit, rather than from a typed template alone. The scribe roundup lists Overjet Voice as ambient notes. That case also says a clinician should check the draft. Overjet Voice is one product in that roundup, listed with other scribe tools. (https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first) - **Perio charting.** Recording periodontal pocket depths and the other findings from a perio exam. The Heartland Dental case is about voice perio charting: the hygienist calls out the readings and Bola's software enters them in the chart. That case is a vendor report of a pilot in 27 Heartland Dental-supported offices. (https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot) - **Eligibility.** A check, before the visit, of whether a dental plan is active and what it says it covers. The DentalXChange case is about an eligibility tool one dentist cancelled after it showed a crown as 50% covered when coverage was 0%. (https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error) - **EOB.** Explanation of benefits: the payer's note of what it paid on a claim and what is left for the patient. An insurance case mentions offices posting EOBs with a different tool. No case on this site is only about EOB posting. (https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification) - **Clean claim.** A dental claim sent without the mistakes that get it rejected or denied. The Signature Dental Partners case is about automating clean claim submission as the first workflow, not the whole revenue cycle. That case labels its denial and turnaround figures as self-reported. (https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims) - **AI receptionist.** Software that answers a dental office's phone. In the three front-desk cases it takes overflow or after-hours calls, and it may book, take a message, or transfer. None of those cases names a single best product. One case is a vendor report, one is a staff call-log audit of an unnamed product, and one covers two add-ons. (https://howdentistsuse.ai/category/front-desk) - **AI scribe.** Software that drafts a clinical note from speech or a recording. The notes hub has two cases: a voice perio charting pilot, and a roundup of scribe tools in which dentists say their own templates matter. The roundup is not a side-by-side trial and does not pick a winner. (https://howdentistsuse.ai/category/notes) - **HIPAA.** The US health-privacy law cited when these cases discuss patient information in an AI tool. The pages report what the sources said about agreements and about keeping names and other identifiers out of the chat. They are not legal advice. (https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks) ## Facts URL: https://howdentistsuse.ai/facts Each line below is a result already published on a case page. - Arini reports the AI answered an average of about 500 overflow and after-hours calls a month that had previously gone to voicemail. Source: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production Case: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours (Vendor-reported) - Arini reports missed calls fell roughly tenfold, to around 50 a month. Source: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production Case: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours (Vendor-reported) - Arini reports the AI booked $34,000 in production value across both offices in its first full month live. Source: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production Case: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours (Vendor-reported) - Arini reports the AI booked $134,000 in total production for the two offices from September 2025 to April 2026 (eight months). Source: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production Case: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours (Vendor-reported) - Arini says front-desk staff went from skeptical to deliberately letting calls ring through to the AI. The office manager says the patients it books keep their appointments, but no show-up rate is given. Source: https://www.arini.ai/case-study/how-wolfe-dental-turned-500-missed-calls-per-month-into-140k-of-added-production Case: https://howdentistsuse.ai/cases/wolfe-dental-arini-ai-receptionist-overflow-after-hours (Vendor-reported) - Completion rate: of the 637 calls where the caller wanted something done, the AI completed 263 (41%). The 263 includes 76 calls where it only took a message and 45 information-only calls. Actual bookings, reschedules and cancellations made on the call totalled 142, about 22% of the 637 (our arithmetic from the author's table). Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - The funnel over 15 months: 1,432 calls. In 709 (49.5%) the caller was silent or hung up at the greeting, and 86 more were 'other/unclear'. That left 637 calls where someone wanted something done. Of those, 263 were completed and 374 ended incomplete. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - Breakdown of the completed calls: 70 appointments booked, 43 reschedules, 29 cancellations, 76 messages for staff and 45 calls answered with information such as hours or location. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - New patients: 28 of the 70 bookings (40%) were new patients, which the author works out to about $168 of subscription per new-patient booking. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - Bookings went up over time, from 21 in the first six months to 35 in the last six. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - In the author's reading, callers did not object to the AI itself. Across 378 failed calls, only one caller said anything about it being an AI. Callers asked for a person far more often: 65 times in total. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - The author's five-year estimate puts the AI at about +$10,200 profit compared with voicemail. That is below their estimates for answering services: about +$14,000 for messages only and +$17,500 for one that books. The AI figure comes from the office's data. The answering-service figures use 2026 industry pricing, not services the office tested, and come from someone who now sells an alternative. Source: https://www.reddit.com/r/Dentists/comments/1wpoxci/honest_experience_with_an_ai_receptionist_i_read/ Case: https://howdentistsuse.ai/cases/la-dental-office-ai-receptionist-15-month-call-log-audit (Mixed) - Practitioner report (Dental Intel): about a month after starting, using it only for overflow and after hours, the office says the AI had booked a number of patients, including new patients after hours, and fills openings in the hygiene schedule. Source: https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pboijr2/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Dental Intel): the same office says the AI handled an emergency call by forwarding the patient to the office's emergency line, and took a few payments after hours. Source: https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pboijr2/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Dental Intel): some callers get frustrated. Once staff explain when the AI answers and what it can do, the office says there's been almost no pushback and estimates 99% of patients are fine with it. Source: https://www.reddit.com/r/Dentists/comments/1whrwge/has_anyone_here_actually_used_an_ai_phone/pbojlbb/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Dental Intel, negative): a poster who tried it in July 2026, about 10 days after the public launch, found little room to customize it. Posing as a patient with an emergency, they couldn't get put through to the doctor. They still noted they'd heard some very good demos. Source: https://www.reddit.com/r/Dentistry/comments/1sgujam/ai_receptionist_for_after_hours/owl9dtt/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Vendor docs (Dental Intel): emergency detection, including forwarding the call to a person, came in the Sept 1, 2026 update, after that test. Dental Intel's main help article (updated Oct 7, 2026) says that for daytime overflow it can't transfer a caller to a team member mid-call. Calls that need a person get a summary so staff can follow up. The emergency-settings article lists call forwarding only as an alert option for calls it flags as emergencies. Source: https://educate.dentalintel.com/en/articles/14809457-ai-receptionist Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Vendor docs (Dental Intel): a weekly AI Receptionist dashboard (total calls, after-hours calls, minutes used, average call duration, peak call hours, appointments scheduled) was added Sept 1, 2026. Dental Intel's Sept 29, 2026 update says call summaries are now also saved to the patient's record in the PMS. Source: https://educate.dentalintel.com/en/articles/17062336-september-29-2026-product-updates Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Mango Margo): apart from a few patients who hate AI, the practice finds that patients, new ones included, give Margo clearer and more usable information than they give staff on regular calls. Source: https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Mango Margo): Mango doesn't count Margo-answered calls as missed, but the practice does. Margo has no dashboard: its recordings are mixed in with hundreds of other calls, and the office only gets an email when Margo answers, then has to search the call logs. Source: https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Practitioner report (Mango Margo): the biggest problem is no write-back to Open Dental. Margo takes notes but can't take action on them. Source: https://www.reddit.com/r/Dentists/comments/1wksx3m/i_got_tired_of_our_front_desk_missing_calls_so_i/pb2x1z8/ Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Vendor page (Mango): Mango's current dental page says Margo collects name, reason and callback number and then creates a callback task in the practice-management system. It doesn't claim Margo books appointments. In its sample call, Margo tells the patient the team will call back to find a time. Source: https://mangovoice.com/dental/practices Case: https://howdentistsuse.ai/cases/dental-intel-vs-mango-margo-add-on-ai-receptionist (Mixed) - Overjet reports the practice saves 15+ hours a week that used to go on manual insurance checks and phone calls (case study, December 2025). Source: https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification Case: https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification (Vendor-reported) - Overjet reports that each verification now comes back with 85% or more of the information complete, against about 50% from most earlier tools. It calls this a 70% increase in data completeness. Source: https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification Case: https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification (Vendor-reported) - Overjet reports it now surfaces details that were not available to the practice before: periodic exam frequency, periodontal history and comprehensive patient history. Source: https://www.overjet.com/resources/how-bridge-mill-dental-care-saves-15-hours-a-week-with-overjet-s-insurance-verification Case: https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification (Vendor-reported) - In a testimonial on Overjet's undated Ivy product page, Dr. James Candon of Bridge Mill says the team is saving four hours a day with Ivy. He adds that the reports are more complete and easy to read, and that they can be searched by code. Source: https://www.overjet.com/solutions/insurance-verification Case: https://howdentistsuse.ai/cases/bridge-mill-dental-overjet-ai-insurance-verification (Vendor-reported) - On easy checks, which staff could easily have done correctly themselves, the results were accurate. The dentist estimates this saved maybe a minute or two of front-desk time. Source: https://www.reddit.com/r/Dentistry/comments/1v7zo26/ Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - On the checks that are hard for the dentist or staff to get right, the dentist says it did a terrible job of getting accurate information. Source: https://www.reddit.com/r/Dentistry/comments/1v7zo26/ Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - In one case it said a crown would be covered at 50% when coverage was actually 0%. Source: https://www.reddit.com/r/Dentistry/comments/1v7zo26/ Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - The dentist cancelled within about three months. Source: https://www.reddit.com/r/Dentistry/comments/1v7zo26/ Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - The only reply (no role or flair shown) said that, like most dental eligibility 'AI' tools, it fails on the details that matter most. Active/inactive status was about the only result that person would fully trust. Source: https://arctic-shift.photon-reddit.com/api/comments/search?link_id=1v7zo26&limit=100 Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - Vendor claims at launch (Jan 2024): the platform streamlines benefit verification, significantly cuts calls to payers, and reduces claim errors, denials and rejections. The article also lists inaccurate patient estimates among the problems it solves. It gives no figures for the product and no pricing. Source: https://www.dentistrytoday.com/dentalxchange-launches-its-eligibility-ai-platform/ Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - Vendor claim on the current product page: automating benefit checks saves 3+ hours per day. The page shows no method, customer names or prices. Source: https://dentalxchange.com/product/lp/eligibility-ai-practice-management-software Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - Competitor view, not about this practice: eAssist sells specialized dental billing services, so it has a stake in this argument. The description of a podcast episode with its CTO, Jason Orgill, splits eligibility checks into three phases: automated basic checks, portal scraping, and phone calls for complex high-dollar procedures. It says most AI tools stop at phase two and that human expertise is still essential for high-dollar cases. Source: https://www.youtube.com/watch?v=VseBkCSVxog Case: https://howdentistsuse.ai/cases/dentalxchange-eligibility-ai-cancelled-crown-coverage-error (Practitioner report) - Perry said denial rates fell by more than 50% 'so far' after the group started working with Thoughtful AI. She presented this in late 2024 as progress, not a final result. Source: https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/ Case: https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims (Mixed) - Perry said claim turnaround dropped from 45 days to 17. The article does not say how turnaround was measured (for example, from submission to payment). Source: https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/ Case: https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims (Mixed) - The first automated workflow was clean claim submission. Perry said she chose it because it was the group's biggest obstacle, and she got her executive team to approve that one process first. Source: https://www.beckersdental.com/dso-dpms/how-ai-drives-quick-wins-in-rcm-4-takeaways-for-dsos/ Case: https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims (Mixed) - In May 2024, the show notes for a podcast episode with Thoughtful AI's CEO described Signature as a success story of fewer days sales outstanding and growth without extra hiring. This is a promotional summary and gives no numbers. Source: https://podcast.app/revolutionizing-healthcare-management-with-advanced-ai-technologies-e377439649 Case: https://howdentistsuse.ai/cases/signature-dental-partners-thoughtful-ai-clean-claims (Mixed) - Bola's case study reports that hygienists saved an average of 18.5 minutes per day. The study says this figure assumes an even mix of new and re-care patients. Our reading is that it is partly an estimate, not a straight stopwatch measurement. Source: https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf Case: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot (Mixed) - In Bola's survey, the share of hygienists who said they usually or always relied on a second hygienist or assistant to record probe results fell from 47% before the pilot to 16% with Bola. These are self-reported survey answers. Source: https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf Case: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot (Mixed) - A practice manager quoted in Bola's case study said hygienists no longer needed a dental assistant present during perio charting. That let the office book new patients even when no assistant would be available. Source: https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf Case: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot (Mixed) - According to Bola, every office that was installed, trained and had its microphones in under 10 days (9.83 days on average) completed more than 100 voice perio charts during the pilot. One of these offices did 40 charts in the week after setup. Source: https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf Case: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot (Mixed) - Bola reports a 9x revenue-based return on investment and a total value of $36,000 per office in treatment revenue. It attributes this to more complete perio charts and more full-quadrant (rather than localized) treatment. Our reading is that these are Bola's modeled revenue figures, not collections reported by the offices. Source: https://bola.ai/wp-content/uploads/2023/07/rebrand_Bola-Heartland-Dental-Case-Study-230727.pdf Case: https://howdentistsuse.ai/cases/heartland-dental-bola-voice-perio-charting-pilot (Mixed) - A commenter whose office uses Overjet with its own templates for limited exams, new-patient exams and consults said the notes capture everything in detail and usually need only minor tweaks. Routine procedures still get plain templates. Source: https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - A Kiroku user set the voice-to-text feature to their own template. They said it saves time because notes get written right after the visit rather than after hours, and that it works well for new-patient consults and detailed pain histories. They added that it can also generate letters from the appointment. Source: https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - One practice built its own system. A local model fills in the blanks on a note form and adds a summary of the conversation, and the full conversation is kept and indexed on the office server. They said it finally works but took quite a bit of work to get right. Source: https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - A commenter who once tried an AI tool that writes the note said they ended up retyping half of it anyway. Having the AI fill in template blanks worked better for them. Source: https://www.reddit.com/r/Dentistry/comments/1xa9d4f/ai_for_chart_notes/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - Tennessee dentist Dr. Giles Damron has used Freed, a general clinical AI scribe, for about two years to write detailed dental notes 'in a fraction of the time', according to the show notes of a July 2026 Very Dental episode that also featured Freed's co-founder. The show notes give no figure for the time saved. Source: https://dentalhacks.libsyn.com/group-function-erez-druk-and-dr-giles-damron Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - In March 2025, a commenter said Dentistry Dashboard AI notes probably saves them about 30 minutes a day, mainly on exams, consultations and patient letters. A self-described co-creator of the tool later promoted it in another thread, so treat praise for this tool with some caution. Source: https://www.reddit.com/r/Dentistry/comments/1jg1z6z/anyone_really_using_ai_in_their_office/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - One dentist said templated notes already take them under a minute, and that they would never want active microphones in their operatories. Another said auto notes in the PMS are already quick. Source: https://www.reddit.com/r/Dentistry/comments/1vg6ueq/dental_notes_ai_experiences/ Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - A King's College London study of 10 speech-recognition systems on spoken orthodontic records found the most advanced ones were faster and more accurate than typing, saving up to 60% of the time. Clinically significant errors, such as misidentifying teeth or treatment plans, still occurred, and the researchers recommend that clinicians check and edit every transcript. Source: https://www.kcl.ac.uk/news/ai-speech-tools-could-revolutionise-dental-record-keeping-but-caution-is-needed-kings-study-finds Case: https://howdentistsuse.ai/cases/ai-scribes-dental-notes-templates-first (Practitioner report) - In a February 2025 r/Dentistry thread on how ChatGPT changed people's practice, the top-scored practical reply (28 points in the archive snapshot) was writing patient dismissal letters. A second dentist said they do the same and asked whether that might be the only real use. Source: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - In the same thread, one dentist said they use ChatGPT to make notes and replies to problem patients sound more professional, and for appeal letters. They treat it as a first draft and warned against including PHI. Others use it for patient letters and emails, including a recommendation letter for an RDA applying to hygiene school. Source: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - A dentist in a January 2025 thread described the same use: it makes notes about awkward situations sound more professional and writes first drafts of emails, with no PHI entered. Source: https://www.reddit.com/r/Dentistry/comments/1htr3zk/anyone_using_any_ai_notes_software_in_dentistry/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - One commenter called ChatGPT great for consent forms, templates and post-op instructions. A reply said the practice's malpractice carrier should already provide resources like these. Source: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - One commenter said they used ChatGPT to analyze their P&L and come up with a strategy for profitability. Two people asked for details, but none appear in the archived thread. Source: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - The most-upvoted comment in the January 2025 thread (50 points) came from a dentist who asked ChatGPT exactly what to write on a crown claim to get it approved. According to the dentist, ChatGPT replied that doing so would be unethical. Source: https://www.reddit.com/r/Dentistry/comments/1htr3zk/anyone_using_any_ai_notes_software_in_dentistry/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Two comments (14 and 7 points) warned against using ChatGPT to check drug interactions. One called it unsafe; the other pointed to professional resources such as UpToDate. Source: https://www.reddit.com/r/Dentistry/comments/1ikua13/how_has_chatgpt_changed_the_way_you_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - In June 2026 a dentist evaluating practices said they had been using AI more because their CPA's bills are high. They still use their CPA but find chat quicker and cheaper for low-level assessments. Commenters warned that uploading the data could breach an NDA unless the user has a business license with the AI company, and said to redact everything. One noted that Claude can drift over a long chat and work from assumptions the user can't see. That commenter suggested narrow prompts, such as what the procedure mix says about the practice's treatment philosophy, instead of asking whether it is a good practice to buy. Source: https://www.reddit.com/r/Dentistry/comments/1ui79wk/using_chatclaudeai_to_help_evaluate_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - In the same thread, a commenter whose firm reviews practice deals (and offers prospective clients a no-cost look) said they have talked with clients who were materially misled by AI. Source: https://www.reddit.com/r/Dentistry/comments/1ui79wk/using_chatclaudeai_to_help_evaluate_practice/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - In October 2026 a poster in r/Dentistry reported that Claude wrote Python add-ons for Blender. They turn a shell into a base model, design basic aligners, automate baseplate design and design custom impression trays. The denture-duplicating add-on wasn't particularly good. Another commenter uses AI for RPD design: they enter the missing teeth and adjust the ideal design it returns as needed. Source: https://www.reddit.com/r/Dentistry/comments/1x6cyxg/finally_found_a_real_use_for_ai/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Sidebar: a June 2026 r/Dentists post described a home-built MCP bridge between Open Dental and Claude, offered for marketing ROI, dashboards and schedule questions. Commenters raised HIPAA and BAA objections, and one suggested starting with schedule and production dashboards rather than notes or patient messages. Another said Open Dental support told them there were no current plans to integrate with Claude or ChatGPT. The builder later said the guide would not be shared publicly. Source: https://www.reddit.com/r/Dentists/comments/1u2waz4/having_opendental_in_claude/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Sidebar: Dentalpreneur Podcast show notes say Dr. Bill Keith explained how a 20-op practice outside Kansas City uses AI, and mention his background in accounting and finance. The talk covered SQL queries, Open Dental integration, real-time marketing automation, building a custom AI receptionist and analyzing big data with ChatGPT. Source: https://markcostes.libsyn.com/2242-ai-applications-in-the-dental-office-pt-1 Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Sidebar: the part 2 show notes say Dr. Keith uses ChatGPT, Canva and a custom voice assistant named Abby, analyzes data from Open Dental, writes SQL queries in seconds, and has AI bots summarize 200-page legal contracts. Source: https://markcostes.libsyn.com/2243-ai-applications-in-the-dental-office-pt-2 Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - The ADA's patient-dismissal guidance says to develop a template letter. The letter should state the cause objectively, tell the patient to find another provider, and say how many days the practice will remain available for emergencies. The guidance also says to consult state law and the state dental practice act, never dismiss for a legally impermissible discriminatory reason, and document all patient communications. Source: https://www.ada.org/en/resources/practice/practice-management/managing-patients-dismissal Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - CDA guidance from August 2025, written by its HIPAA compliance partner Abyde, says dentists should never put patient data into the free public ChatGPT. Whichever version is used, it says to de-identify data and enter only the minimum necessary. Any vendor that can access PHI must sign a BAA, and a clinician should review every AI output. Source: https://www.cda.org/newsroom/endorsed-services/ai-in-dentistry-what-are-the-hipaa-violation-risks/ Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Anthropic's BAA page covers its HIPAA-ready commercial services, such as the first-party API and Enterprise plans where the Primary Owner activates HIPAA compliance and accepts the BAA. It lists local MCP servers among features that are not covered, and sends consumer plans to a separate article. Source: https://support.claude.com/en/articles/8114513-business-associate-agreements-baa-for-commercial-customers Case: https://howdentistsuse.ai/cases/dentists-chatgpt-claude-five-office-tasks (Practitioner report) - Before the fix, her website produced zero website-driven cosmetic consults for nearly a year after the rebuild (self-reported, episode 628 notes). Source: https://www.thedentalmarketer.site/podcast/628 Case: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects (Practitioner report) - After the fix, website traffic reportedly jumped 400% overnight and the site generated 17 consults in the first month (self-reported, no analytics shown). Source: https://www.dentaltown.com/channel/post/27006/when-is-a-full-rebrand-worth-it-for-a-boutique-cosmetic-practice-dr-brittany-dickinson-628 Case: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects (Practitioner report) - The show's July write-up gives different figures: website traffic doubled within a month, and cosmetic consults went from around 3 a month to 17. Source: https://www.dentaltown.com/channel/post/26279/ai-dental-seo-from-zero-cosmetic-consults-to-17-dr-brittany-dickinson-ff Case: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects (Practitioner report) - The July episode notes describe the change as going from zero cosmetic consults a month to 17 and counting, and say AI helped her save thousands of dollars. No breakdown is given. Source: https://www.thedentalmarketer.site/podcast/ff-29 Case: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects (Practitioner report) - The cause, per the July write-up: nearly all of the old website's pages had never been redirected. The AI assistant reportedly found this a few hours after she asked it to review everything. Source: https://www.dentaltown.com/channel/post/26279/ai-dental-seo-from-zero-cosmetic-consults-to-17-dr-brittany-dickinson-ff Case: https://howdentistsuse.ai/cases/cosmetic-dentist-ai-seo-audit-missing-redirects (Practitioner report)