AI Booking & Recall System
Medical Clinics & Dental
A mid-size dental clinic was losing patients to missed calls and no-shows. We built an AI receptionist that answers 24/7, fills the schedule, and recalls patients automatically — recovering lost revenue without adding staff.
Get a Free Automation AuditIntro
Most dental clinics don't have a marketing problem. They have a response problem. Patients call, nobody picks up fast enough, and they book with the next clinic on Google. This case shows how a structured AI booking system closes that gap — and what it's actually worth in euros.
About
A private dental clinic in Poland, 4 chairs, 3 dentists, front-desk staffed during business hours only. Like most clinics this size, the front desk handled bookings, rescheduling, and patient questions manually — by phone and occasionally WhatsApp. No call tracking, no structured recall system, no visibility into how many inquiries actually converted to appointments.
Starting point
The clinic operated on assumptions, not data — which is normal, because nobody manually logs missed calls. We worked backward from industry-standard benchmarks for clinics of this size to estimate the real gap:
Goal
Not "more leads." The clinic didn't need more demand — it needed to stop leaking the demand it already had, and protect chair-time that was already booked but unreliable due to no-shows.
Strategy
We didn't build a chatbot that answers questions. We built a booking engine that closes the loop end-to-end: capture → qualify → book → confirm → remind → recover.
Architecture
[Inbound Channel: Call / WhatsApp / Web Chat / Instagram]
↓
[AI Agent — Intent & Urgency Detection]
↓
[Calendar Check — Real-time Availability]
↓
┌─────────────┴─────────────┐
↓ ↓
[Slot Available] [No Slot / Emergency]
↓ ↓
[Book + Confirm] [Priority Queue → Human Callback]
↓
[CRM Entry: Patient Record + Source + Treatment Type]
↓
[Reminder Sequence: 48h / 24h / 2h before appointment]
↓
[No-show? → Auto-reschedule offer]
↓
[Post-visit: Review request + Recall scheduling (6-month checkup)]Implemented
Tools / Stack
Economics
Numbers below are modeled on the clinic's profile (4 chairs, 3 dentists, ~25–30 calls/day) — not guaranteed results, but the calculation logic any clinic can re-run with their own numbers.
Results
Value
Conclusion
This clinic didn't have a demand problem. It had a leak. Most clinics do — they just don't have the data to see it, because nobody logs a call that was never answered. The fix isn't "more marketing." It's closing the gap between the patients already trying to book and the patients who actually get an appointment confirmed. That gap, once closed, pays for the system many times over.
CTA
Want to know your clinic's actual missed-call and no-show cost? We'll map it using your real numbers — no commitment, no generic pitch.
Get a Free Automation AuditRelated industry solution pages
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Open solution pageRelated use cases
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