Four of five clinic calls handled end to end, with no caller detecting AI
The Situation
Dental clinics lose revenue at the front desk. Every missed call is a missed booking, and reception peaks exactly when the clinic is busiest, so the most valuable calls arrive when nobody can answer them.
The clinics served a bilingual Dutch and English patient base, which doubles the staffing problem: coverage has to speak both.
Why it was hard
Patients do not want to talk to a robot, and healthcare raises the bar further: the system books real appointments into real calendars and must recognize when a call is urgent and hand it to a human immediately.
The bar was not to be a good bot. The bar was that callers should not be able to tell.
What Was Built
A bilingual AI voice receptionist handling calls end to end: answering, understanding the request, booking into the clinic calendar, and escalating urgent cases to staff.
Voice quality was treated as a product requirement, not a nice-to-have. The agent switches between Dutch and English based on the caller.
The Results
What This Means For You
If missed calls cost you revenue and your team cannot catch them all, a voice agent is one of the fastest paybacks in AI. The only question is whether your systems can support one. The audit answers it in two weeks.
Not sure where you stand? Take the free AI Readiness Calculator →