Case study · Aesthetic medicine clinic

Vela Clinic

A premium Warsaw clinic was losing patients at the simplest point: between “I want to book” and the actual visit. Reception couldn't keep up, and the phone rang mostly during treatment hours.

Year

2026

Timeline

7 weeks

Stack

Next.jsBookingAgent AISMS automation

velaclinic.pl

01The challenge

Patients decide in the evening, after reading reviews — but at 9 PM nobody answers. On top of that, one in ten booked visits was lost to no-shows, blocking specialists' calendars.

02What we built

A site with 60-second online booking, deposits and SMS reminders, plus an AI agent trained on the treatment offer — it answers questions about contraindications and prices, then proposes a slot itself.

Booking with specialist and treatment choice in 60s
Online deposits and SMS/email reminders
An AI agent answering medical questions from the clinic's base
Treatment presentation building trust before the visit

03The results

+120%

online bookings

−35%

no-shows

60%

enquiries handled after hours

The agent books visits while we sleep. The calendar is full by morning, and reception finally takes care of patients in the clinic.
- Owner, Vela Clinic

More work

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