Illustrative example. This is based on real methodology and a realistic scenario — not a specific named client. Figures are indicative of the kind of outcome the approach targets, not a claimed client result.
Healthcare & Clinics

AI receptionist for a multi-chair dental clinic

The challenge

A busy dental clinic was losing patients to missed calls. The front desk couldn’t answer the phone while looking after patients in the chair, so calls during treatment, lunch, and after hours went to voicemail — and many of those patients simply booked with another clinic. No-shows left expensive chair time empty.

Our approach

We mapped the clinic’s call types and booking rules, then built a voice AI receptionist integrated with their calendar. It answers every call in natural speech, books and reschedules appointments, answers common questions about hours and services, and sends automated confirmations and reminders. Clinical questions are escalated to a nurse by design.

What we built

  • A 24/7 voice AI receptionist that answers and books in natural speech
  • Two-way calendar integration for real-time booking and rescheduling
  • Automated SMS/email confirmations and reminders to reduce no-shows
  • Escalation rules routing clinical or sensitive calls to staff
  • Call transcripts and a weekly summary for the practice manager

Outcomes the approach targets

24/7, every call answered
Call coverage
Captured instead of lost to voicemail
After-hours bookings
Automated reminders cut missed appointments
No-show reduction
Routine calls handled, staff freed for patients
Front-desk load

Services used

More on this: AI for Healthcare & Clinics

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