Front desk & phonesVendor-reported

Missed-call text-back at Family First Dental: what Resonate reports

Resonate's case study says Family First Dental, part of Dentive Dental Group, texted people who called 5 practices and were not answered. Over 8 weeks Resonate says that produced 175 appointments, 81 of them booked by the AI, at $450 per location per month. The $131,904 figure on the page is an annual new-patient projection.

Practice
Family First Dental
Size
5 practices (vendor)
Location
Cities not named
Tool
Resonate missed-call text-back
Cost
$450/location/month
Source
Vendor-reported

Did it work? Results

Who tried it, and why

Multi-location dental group. 5 practices, per Resonate's case study. Cities are not named on the Resonate page. A separate Family First Dental site lists five offices in Kennewick, Richland and West Richland, Washington, and does not mention Resonate..

Resonate's case study says Family First Dental, part of Dentive Dental Group, operates 5 practices and, over 8 weeks, found it was missing 1,479 calls, which the page calls nearly 185 a week. The page says that without data the group could not see how large the gap was, that Monday mornings were voicemail, and that an earlier online scheduler had a 25% show rate. It says patients calling at peak times often reached whichever practice answered first.

What did they set up?

Tools used

What did it cost?

Resonate's case study lists the investment as $450 per location per month. It does not print a total, say what that price includes, or say whether all 5 practices were billed for the whole pilot.

“Not having to wonder what we are missing.”
Elizabeth D., General Manager at Family First Dental, quoted on Resonate's case study

What didn't go well?

What should your office take from this?

Try it yourself

Write the rules for a missed-call text before you turn it on
You are helping a dental office manager set rules for an AI that texts someone after a call is not answered, and that may book a visit. Using only the practice details below, draft a one-page rule sheet. Include: (1) which unanswered calls get a text (during office hours, after hours, or both) and which must never get one; (2) how soon the text goes out, how many follow-ups, and the exact stop when someone says no; (3) which visit types the AI may book, with length and provider, and which requests must go to a person; (4) what the AI may say about insurance, fees and emergencies, and what it must not promise; (5) the weekly report we want: missed calls, texts sent, replies, appointments the AI created in the practice management system, appointments a person created from those replies, appointments kept, and threads a person had to finish. Ask me for anything missing. Do not include any patient name, phone number, or chart note.

Practice details: [locations] [practice management system] [hours] [visit types and lengths] [what we do with an after-hours emergency]

Prompt written by us, not by the practice. Never paste names, dates of birth or other patient details into a general AI tool.

Sources

How we checked this

Checked on 27 October 2026. We read all 4 sources listed above, and a separate second check re-opened every one of them before publication. Anything we could not confirm was removed.

Figures published by a vendor are reported as that vendor's claims, not as verified facts.

Spotted an error? Tell us and we will re-check it. How we verify.

Free assessment. Tell us what takes the most time in your office. We will reply with what we would automate first.Get a free assessment →

Get one real case study a week

More case studies

Front desk & phonesVendor-reported

AI receptionist for overflow and after-hours calls: Wolfe Dental's results

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.

Arini reports the AI answered an average of about 500 overflow and after-hours calls a month that had previously gone to voicemail.
Front desk & phonesMixed

AI receptionist audit: LA dental office's 15-month call log shows 41% task completion

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.

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).
Front desk & phonesMixed

Dental Intel AI receptionist vs. Mango Voice Margo: what dental offices report

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.

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.