← Industries/Healthcare
INDUSTRY /21 · LAST UPDATED APR 29, 2026
Healthcare

AI Automation for Dental Practices.

Recall, treatment plans, insurance — fewer phones, more chairs filled.

+35%
recall completion
+20%
plan acceptance
24/7
patient self-serve
See sample workflows →
TL;DR — Key takeaways
4 bullets · 30-second read
  • What slows dental practices down: recall lists never get worked through.
  • What we ship: Recall, treatment plans, insurance — fewer phones, more chairs filled.
  • Tools we plug into: Dentrix, Open Dental, Eaglesoft, Curve Dental.
  • Headline outcome: +35% recall completion · +20% plan acceptance.
WORKFLOW · INDUSTRY /21
Dental Practices
⟶ Inbound
Inbound lead
Document
Status request
Recurring task
◆ AI layer
↳ classify
↳ enrich
↳ draft
↳ route
↳ log
eval harness on every step
⟶ Outcome
+35%
recall completion
+20%
plan acceptance
24/7
patient self-serve
Plugs into ↘DentrixOpen DentalEaglesoftCurve DentalDenticon
ships in 3–6 weeks

Where the hours go in dental practices.

Four patterns we hear from dental practices on every diagnostic call. None of them get fixed by hiring. All of them get fixed by writing the implicit rules down and letting AI carry the rote work.

  • /01
    Recall lists never get worked through
    Hundreds of patients overdue for a hygiene visit. Front desk works through them when there is time. There is never time.
  • /02
    Treatment plan follow-up is patchy
    Patient leaves with a $4,800 plan. Six weeks later nobody has called. Plan acceptance has nothing to do with diagnosis.
  • /03
    Insurance verification eats front-office hours
    Each new appointment needs eligibility, benefits, and history. The front desk does it on the phone with the carrier. Twenty minutes a patient.
  • /04
    Reviews are inconsistent
    Some patients get the review ask. Some do not. The inconsistency shows up in your Google rank.

The automations, in plain English.

7 components · ships in 3–6 weeks
/01

Recall automation

Multi-channel outreach (SMS, email, voice) to overdue patients with one-tap booking. Recall completion climbs immediately.

/02

Treatment plan follow-up

Open plan → drafted patient outreach at 2w, 6w, 12w with financing options and procedure-specific FAQs.

/03

Insurance eligibility verification

48-hour pre-visit eligibility checks across major carriers. Out-of-network surprises caught before the patient arrives.

/04

Appointment reminders + confirmations

Reminder cadence at 7d, 24h, 2h with one-tap confirm or reschedule. No-shows drop without front-desk effort.

/05

Review request automation

Branded review ask after every visit. Happy/unhappy branching. Review velocity goes up; service-recovery happens privately.

/06

New patient welcome flow

Pre-visit forms, insurance capture, office orientation. New patient day-of arrives prepped, not confused.

/07

Hygiene appointment rebooking

Failed rebook captured before the patient leaves the chair. Rebook prompts sent at 5 months, 5.5 months, 6 months.

Manual today, automated tomorrow.

Top 4 bottlenecks for dental practices, paired with the Scooper module that ships against each.
#Manual todayWith Scooper
/01Recall lists never get worked throughRecall automation
/02Treatment plan follow-up is patchyTreatment plan follow-up
/03Insurance verification eats front-office hoursInsurance eligibility verification
/04Reviews are inconsistentAppointment reminders + confirmations

Your stack. Smarter.

We do not migrate you off your software. We build a layer on top.

DentrixOpen DentalEaglesoftCurve DentalDenticon

What ROI should we expect from AI automation for Dental Practices?

Recall completion up 35%. Treatment-plan acceptance follow-through up 20%. Front-desk hours that used to live on the phone go to chair-fill instead.
+35%
recall completion
+20%
plan acceptance
24/7
patient self-serve

Three steps. No surprises.

01

Audit

15-min discovery → two-week paid diagnostic. Operator interviews, workflow shadowing, and three nasty real examples worked end-to-end. By day ten you have a scope, a price, and a signed-off KPI.

$9,500 · 2 weeks
02

Build

Senior operators in your repo and your Slack. Code, prompts, and evals shipped in 3–6 weeks. KPI signed off in writing before we start. Miss the number, the next sprint is on us.

From $14k · 3–6 weeks
03

Handoff with SOPs

Two rounds of post-launch tuning. Then your team owns it. We hand over the code, the eval harness, the runbook, and the SOPs. No retainer required. No vendor lock-in.

Owned by you · day one

A real engagement.

Anonymized · numbers from the books

A 3-doctor dental practice had 1,400 overdue recall patients and a $90k unworked treatment-plan backlog. We shipped recall automation in week three and treatment-plan follow-up in week five. Inside one quarter: 480 recall visits booked, $38k of stalled treatment activated, and the same front-desk team running it without overtime.

Talk to us about your version of this →

Things dental practices actually ask.

  • Does it work with Dentrix and Open Dental?
    Yes — and Eaglesoft, Curve Dental, and Denticon. Recall, treatment-plan, and appointment data write back to your PMS.
  • Is it HIPAA compliant?
    Yes. HIPAA-eligible deployment, BAAs in place, encryption in transit and at rest, no cross-tenant training, audit logs.
  • Can it text and email patients?
    Yes — both, plus voice for older patients. Channel preference is captured per patient and respected automatically.
  • How does it handle multi-doctor practices?
    Per-doctor partitions for plan tracking and recall preferences. Roll-up reporting at the practice level. Multi-location support is the same model.
  • What is the implementation timeline?
    Two-week diagnostic, 3–5 week build. Recall and reminders ship in week three; treatment-plan follow-up by week four; insurance verification by week five.
Next step
Book a 15-minute audit for your dental practices.

We will tell you in 15 minutes whether AI fits your bottleneck. If it does, we will scope a two-week paid diagnostic. If it does not, we will tell you that too.

Book a 15-min audit

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