Realtime voice AI · Anonymous client · Early production
A Danish voice agent on live clinic phone lines
A voice agent that answers clinic calls in Danish, books, reschedules and cancels appointments, and calls new leads within seconds of opt-in.
- Client
- A multi-location clinic platform in Denmark (anonymous)
- Type
- Inbound reception and outbound speed-to-lead
- Status
- Early production
- Stack
- OpenAI Realtime · Twilio · GoHighLevel · EasyPractice · EasyMe · Railway
~500 ms
voice latency on live phone calls
Early production.
975 / 56
calls and bookings
Early production.
~6%
lead to booking, roughly
Early production.
Early production: 975 calls and 56 bookings, roughly 6% lead to booking. An early-production result, not a full rollout.
How a call moves through the system. Diagram only: the client is anonymous, so no screenshots or brand names.
The problem
A demo was not the goal.
A convincing voice demo was not the goal. It had to work with real phone audio, Danish names and numbers, clinic calendars, lead triggers and callers who do not follow a script.
My role
I ran this from the first call: scoped it, rebuilt the voice pipeline on OpenAI Realtime and Twilio, designed the booking state, connected leads and calendars, and stayed after launch to tune it on real calls.
- First call
- Discovery
- Scope & proposal
- Solution design
- Build lead
- Launch
- Iteration
Clear communication, set KPIs and expectations with us, stayed after launch to optimize and fix.
