KEY RESULT
+31 bookings
in month 1, payback inside 30 days
Client: Multi-specialty medical clinic, Budapest. Serves local and health-tourism patients.
A multi-specialty clinic in Budapest was losing bookings at lunch. Staff broke at noon, which happened to be when patients and international health-tourists called most. Peak volume was 12 to 2 PM. Answer rate in that window was 41%. The rest hit voicemail and hung up.
What was the problem?
The problem was boring and expensive: roughly 8 missed booking calls a day between the lunch break and after-hours. Average appointment value at the clinic was €150 to €300 (a mix of consultations and some aesthetic procedures), so every missed call was €150 to €300 in revenue that never showed up.
They served both local patients and international health-tourism clients, with the latter often calling from different time zones. After 5 PM and during lunch, nobody was available to book anything. Those callers either left voicemail (which rarely got returned in time) or called a competitor.
Over a month that's about 240 missed opportunities. At €150 to €300 per booking, the clinic was leaving €36,000 to €72,000 on the table every month because the phone wasn't being answered.
How did ClearCall AI deploy?
We built a multilingual voice agent — Hungarian, English, and German — to match the clinic's patient mix. Its job was simple: answer during lunch and after-hours, understand what service the caller wanted, check availability in the scheduling system, and either book the appointment directly or collect details for a callback.
We started with after-hours only and expanded to lunch once that was working. The agent integrated with the clinic's existing booking software (a standard medical practice management system). Staff could see every appointment the agent booked, with full patient info and notes already attached.
It didn't need medical training. It collected patient info, confirmed the service, checked slots, and closed out the booking. No diagnosis. No clinical conversation.
What were the results?
Month 1: 31 appointments booked that otherwise would have been missed. At €150 to €300 each, that's €4,650 to €9,300 in recovered revenue. The managed agent fee is a small fraction of that, so the clinic was cash-positive inside the first month. Staff said lunch hours got noticeably less chaotic.
Month 3: the numbers held. The clinic expanded the agent to handle consultation pricing FAQ and medical history intake. Retention on the front desk improved — fewer people were burning out on overflow calls. They also started using the agent's data to see which services were generating the most off-hours interest, which fed into how they scheduled and marketed.
Why this worked
Clinics have an obvious scheduling mismatch: peak calling hours don't line up with staff availability. The agent solved that with one rule — answer during the gaps, book direct, no exceptions. Multilingual was the unlock, because health-tourism clinics lose a lot of bookings to language barriers.
The agent didn't try to diagnose or give medical advice. It booked appointments. That narrow scope is why reliability was high and escalation was low. Most of the people calling at 6 PM or 12:30 just wanted to schedule something; they didn't need to speak to a doctor first.
And because every booking wrote straight into the clinic's existing system, staff never had to re-enter data or chase anything over email. Appointment confirmed, SMS sent automatically, done.
Client identity anonymized at their request. Outcome metrics validated against deployment telemetry.