AI voice agent for dental practices — 2 case studies | PrimexAI 2026
AI Dentistry · Database reactivation case study

AI voice agent for dental practices

A 5-location dental group. +449% appointments from a "dead" CRM list. The AI agent handles inbound requests, reactivates patients, and rebooks cancelled slots — without breaking your front-desk process or your protocols.

100%
of the patient list put into systematic reactivation - with no extra front-desk headcount
24/7
request handling: voice, phone, messengers - no sick days, no weekends off
×3
cheaper than a live receptionist at the same first-contact efficiency
Where dental practices lose money

4 leaks the AI agent plugs in the first week

Before deployment, every practice loses at least 15–25% of its potential revenue on these scenarios. We count it literally, by case value and open slots.

Scenario 01

Slow response to inbound

Reality
A request comes in:
  • at 9:30 PM, on a weekend, or during a rush
  • the front desk replies 2–3 hours later
  • the patient has already booked with a competitor
The AI agent answers within seconds and starts the conversation before the patient goes to a competitor.
Scenario 02

Gaps in the schedule

Reality
  • a patient cancels same-day
  • the front desk is buried in inbound calls
  • nobody systematically fills the gap
  • the slot burns
One empty chair a day = hundreds of dollars lost daily. Over a month, that's thousands.
The AI agent tracks cancellations automatically and kicks off rebooking - with no front-desk effort.
Scenario 03

No systematic work with the database

Reality
  • extracted a tooth - never followed through to the implant
  • finished a root canal - never invited the patient back for the check
  • 6 months since the last cleaning - nobody sent a recall
You spend 10% of revenue on marketing, but you don't work your own database to 100%.
The AI agent runs automated follow-up sequences based on data from your PMS and treatment history.
Scenario 04

Front-desk burnout

Reality
Routine communication eats the team's time:
  • next-day confirmations
  • new and returning inbound requests
  • insurance and billing questions
  • photo questions along the lines of "is this normal?"
None of this makes money. It just drains the team.
The AI agent takes up to 80% of routine communication. The front desk steps in only when a human is actually needed.
Real call recording

Dentistry — a clip of the AI agent at work

Listen to how the AI agent runs a conversation with a dental patient.

0:00 / 0:00
How it works

The AI works inside your CRM, like a staff member

It follows your protocols and scripts, creates tasks in the CRM, and transcribes every conversation. No migrations, no retraining your team, no switching systems.

🧩

Inside your CRM

We plug into your CRM - HubSpot, Salesforce, Dentrix, Open Dental and others. We use your templates, statuses, fields and scripts - no migrations.

📋

By your protocols

Scripts are signed off with your clinical lead. The AI doesn't diagnose, doesn't advise on treatment, and hands off to a provider.

🎙️

Transcripts and tasks

Every conversation is transcribed, key moments are highlighted, and tasks land in the CRM on the right front-desk owner.

2 cases in one industry

A 5-location group: two scenarios - reactivating an old list and closing leaks in the inbound flow

Two real projects in one group: reactivation drove +449% appointments out of the accumulated CRM, and tightening the inbound flow added another +15% appointments on the same ad budget.

Case 1 · Patient database reactivation

How the AI agent turns an old list into repeat appointments

Client
A multi-location dental group, 5 offices
Goal
Reactivate 13,800 contacts after cleaning and segmenting the database
Solution
The AI agent ran patient reactivation: 4,968 reached, 511 bookings, 363 appointments
Before · Manual calling
Contacts worked2,400 / 13,800
Share of list per month31%
Contacts reached744 (31%)
Appointments booked96
Appointments kept66
Show rate69%
After · AI agent
Contacts worked13,800 / 13,800
Share over the campaign100%
Contacts reached4,968 (36%)
Appointments booked511
Appointments kept363
Show rate71% ↑
Campaign result: 363 appointments from an old list - no extra call-center headcount, no discounts or promos.
+449%

Multiples more database reach

The AI agent worked almost the entire prepped segment - 13,800 contacts, 5.75× more than manual calling could touch.

Systematic reactivation

Calling stopped depending on how busy the front desk was. It became a managed, recurring process with consistent quality across all 5 offices.

2–3 call attempts

Some contacts only came back on the 2nd or 3rd attempt - a front-desk team simply doesn't have that capacity.

Segmentation by scenario

Different scripts per segment: "no-show", "cleaning recall", "post-consult", "high-ticket treatment". Sharper offers = more bookings.

Case 2 · Inbound request flow

How the AI agent closed the leaks in the inbound flow

Client
The same 5-office group, ~3,200 requests a month
Goal
Cut losses inside the funnel and get more already-paid-for leads to an appointment
Solution
The AI agent on first-touch inbound 24/7 + booking confirmation
Before · Front desk only
Leads per month3,200
First-touch handled2,624 (82%)
Appointments booked1,076 (41%)
Show rate to visit72%
Actual appointments775
After · AI agent 24/7
Leads per month3,200 (no growth)
First-touch handled2,976 (93%)
Appointments booked1,161 (39%)
Show rate to visit77% ↑
Actual appointments894
Result: +119 appointments a month on the same ad budget. The growth was inside the funnel, not in traffic.
+15%

Fewer losses on first touch

The AI agent picks up inbound faster - requests that used to slip through during rush hours and after hours now make it into the funnel.

A steady 24/7 line

The group stopped depending on front-desk availability. Response speed is level across all 5 offices.

Booking confirmation

The AI agent doesn't just take the request - it reminds patients of the visit, lifting the show rate from 72% to 77%.

Managing freed-up slots

On a cancellation the AI agent instantly pulls a replacement from the waitlist - the slot doesn't burn, it moves to another patient.

Benefits

Take human error out of your communication

100% of requests handled

Voice, phone, messengers. Not one lost request. Not one "call back tomorrow, I didn't write it down."

No sick days, no days off

24/7 with no mood swings. At 9:30 PM on a Saturday it answers exactly like 11:00 AM on a Wednesday.

No staff turnover

No re-training a new receptionist on the playbook. New scripts update in an hour and roll out to every office at once.

💰 3× cheaper than a live receptionist at the same efficiency - a front-desk hire runs $50–55K/yr fully loaded, while the AI agent pays for itself on the first reactivation campaign.
Deployment process

Simple onboarding in 4 steps

From the first call to fully automated flows - with no extra headcount and no CRM migration.

Step 01

Define the goal

With your team we shape the scenario: what the system should do, when, by which rules, and to what result.

Step 02

Connect the channels

We integrate the AI agent with your CRM, telephony, messengers, PMS and entry points. No migration required.

Step 03

Run the pilot

We test scenarios on a limited volume, check quality, tune the logic, and pull the unit economics.

Step 04

Scale

Once validated, we connect the main flows and lists across every office. A stable communication backbone.

FAQ

What dental practices usually ask

On most calls - they don't. Today's models hold a conversation at the level of an experienced front-desk agent. Where state law requires it, we disclose up front that it's an AI - it doesn't hurt conversion.

Yes. We integrate with HubSpot, Salesforce and other CRMs, plus common dental PMS platforms like Dentrix and Open Dental. If you run an in-house system, we build a connector in about a week.

2–4 weeks for a single practice. Groups of 3+ offices - 4–6 weeks: more time to sign off scripts and integrate with the PMS.

The AI doesn't diagnose or advise on treatment. Any clinical question is escalated immediately to the on-call provider or the front-desk owner for that shift.

On the diagnostics call we model the economics on your numbers: average case value, contact-to-appointment conversion, and database size. In our experience, it pays back within the first reactivation campaign (4–8 weeks).

A basic deployment starts at $1,500. Complex projects for multi-location groups run up to $22,000. We name the exact figure on the free diagnostics call after reviewing your economics.

We'll show you how an AI agent fits your specific practice

45 minutes on Zoom. We'll break down your situation and give you a concrete plan.

  • Research on AI adoption in your niche + a competitor overview
  • A step-by-step plan to deploy an AI agent and grow profit
  • An ROI calculation and pricing for your database size
Message on Telegram WhatsApp