DenixLabs
1,000+ calls, 20 to 30 hours booked
Three dental clinics had one receptionist model and no IT department. Calls rang out at lunch, in the evening, and on weekends. A voice assistant and chatbot now answer on each clinic's existing number. The agent knows each specialist's schedule, services, and durations. It books into the right slot, or hands the call to a person with full context. Prices come only from a clinic-approved list. The owner signed off every phrase before go-live, and each clinic launched in backup mode, so the AI took only calls a person missed.
How it wentAcross the three clinics, the developer reports a bit over 1,000 patient conversations. Each clinic booked roughly 20 to 30 extra hours a month, most of it from calls that used to ring out. No staff lost a job. The author gives no revenue figure, and says that omission is deliberate.
Try it · based on the source's workflow
Answer calls for [clinic name] on [phone number] when the team cannot pick up. Use only our services, durations, and price list: [paste]. Check the real schedule in [booking system], offer the next open slots for the right specialist, and book the caller's pick. Confirm the details back before you end the call. Never give a diagnosis or treatment advice, and never invent a price. Send me a summary of every call the same day, and show me the full script before we go live.
A starting template based on the workflow the source describes. Review it before you use it; you are responsible for what it does.
1,000+ calls, 20 to 30 hours booked — from The SmallOffice Brief, a daily brief of real AI cases for small businesses: https://smalloffice.space/case-1-000-calls-20-to-30-hours-booked