AnveVoice
40% more appointments, after-hours agent
A builder made a voice AI receptionist for his father's dental clinic in Delhi. The front desk covered 9 AM to 6 PM, but 40% of calls arrived after hours, on weekends, or on holidays, and most of those callers never rang back. Each missed call stood for roughly ₹3,000 to ₹5,000 in lost work, per the author. The agent speaks with website visitors in Hindi, English, Tamil, Telugu, and other Indian languages, books through Calendly, captures lead details around the clock, and fills patient intake forms on its own.
How it wentIn 30 days the clinic booked 40% more appointments, mostly after hours, routine how-do-I calls fell 60%, and no call after 6 PM went missed, per the author. He is the builder of the tool and links a free tier, so read the figures as a builder's report on a single clinic over 30 days.
Try it · based on the source's workflow
You are the after-hours voice receptionist for [clinic name]. Answer in the caller's language where you can. Ask what they need, offer real open slots from [booking calendar], and confirm the appointment by reading the day, time, and treatment back. Collect name and phone number for every booking. Fill the intake form from the call: [form fields]. If a caller describes severe pain, swelling, bleeding, or a broken tooth, do not just book: give our urgent-care instruction [paste] and alert [clinic line] at once. Send a morning summary of every call and booking.
A starting template based on the workflow the source describes. Review it before you use it; you are responsible for what it does.