Clinics lose patients in two quiet ways: calls unanswered after hours, and appointments forgotten before the visit. An AI receptionist can help, but healthcare workflows need stricter boundaries than salon or real estate workflows. The AI should book, remind, route, and collect intake - not diagnose.
What a clinic AI receptionist should do
It should answer appointment calls, ask the preferred doctor or department, collect basic intake, suggest available slots, confirm the clinic address, send WhatsApp reminders, and route urgent or sensitive cases to staff. It should also capture missed calls and call back during allowed hours.
Safety boundaries
The AI should never diagnose, prescribe, or promise clinical outcomes. It can ask approved intake questions such as symptom category, duration, preferred doctor, age group, and urgency. If a patient describes severe symptoms, the AI should give the clinic-approved escalation instruction and notify staff. The workflow must be reviewed by the clinic before launch.
Reducing no-shows
Clinic no-shows drop when reminders are consistent. A good flow sends WhatsApp confirmation after booking, a 24-hour reminder, a same-day reminder for high-risk slots, and an easy reschedule option. For paid consultations, a small deposit can increase commitment. The missed-call calculator helps estimate the revenue leak.
Languages and accessibility
Patients often describe symptoms in the language they are comfortable with. A clinic in Hyderabad may need Telugu, Hindi, and English; a clinic in Chennai may need Tamil and English. The AI should understand code-mixed speech, repeat appointment details clearly, and send written confirmation so the patient can verify.
Dvaarik clinic setup
Dvaarik builds the clinic receptionist around your approved scripts, doctors, timings, departments, holidays, escalation rules, and WhatsApp reminders. Start with after-hours calls or missed-call callback, then add outbound reminders, payment links, and CRM or sheet updates after the first workflow is stable.
Frequently asked questions
What will an AI receptionist actually cost my clinic per month?
For a founding client the running cost is ₹5,000 Care Plan + ₹2,000 phone number recharge per 30 days, plus voice at ₹2 per minute on simple whole-minute billing. So a clinic taking 300 appointment calls a month at roughly 2 minutes each uses 600 minutes = ₹1,200 of credits, making the month about ₹8,200. The ₹40,000 custom setup is free for our 10 founding clients, in return for the Care Plan at the founding rate for the first 3 months and an honest testimonial after go-live. You start with a minimum first credit load of ₹10,000 and top up from ₹500 after that; credits never expire. Full breakdown on the pricing page.
Do we need clinic software for this, or can it work with our appointment register?
No clinic software is required — the Booking agent can run purely on rules you give us. We set up your doctors, consulting hours, slot length, break times, holidays and how many patients per slot; during the call the agent locks the slot, writes the appointment to a sheet you can see, and sends the patient a WhatsApp confirmation. If you already run a hospital management system or CRM, we can wire the agent into it instead of a sheet — that is what custom integrations covers. Starting on the sheet is the simpler route: you can see every booking from day one, and we can connect your software later once the flow is settled.
Can the AI answer only after hours and let our front desk handle calls during clinic timings?
Yes — and it is a sensible first workflow for a clinic. You can point calls to the agent only outside consulting hours, or only when the desk line rings unanswered or is already busy, so your receptionist keeps every call she can actually pick up and the AI catches the rest. Missed-call callback works the same way: if a number rings out at 9 pm, the agent calls back the next morning inside your allowed hours rather than at midnight. Once the after-hours flow is working the way you want, the same rules can be extended to lunch-hour and peak-OPD overflow — you decide when, and we change the routing.
What happens if the patient just wants to speak to a human?
The agent hands over instead of arguing — that rule is set before launch, not improvised. You decide what triggers a handover: the patient asking for a person, a symptom category you have flagged as urgent, a complaint, or anything the agent has not been given an approved answer for. Inside clinic hours it can transfer the call to your desk or your mobile; outside hours it takes the name, number and reason, sends it to staff on WhatsApp, and reads out your clinic-approved instruction for emergencies. It will not diagnose, prescribe, or guess at a clinical answer under any circumstances.
When is an AI receptionist not worth it for a clinic?
When your phone is not where you are losing patients. The fixed monthly is ₹7,000 (₹5,000 Care Plan + ₹2,000 number), so the agent has to recover more than ₹7,000 of appointments a month to be worth it — if you are a walk-in-heavy clinic taking five or six calls a day that your front desk already answers on the first ring, the maths does not work and we will say so. It is also a poor fit if nobody at the clinic can sit with us to review and approve the intake questions and escalation wording, because a clinic script that has not been approved by the doctor should not go live. Run your own numbers on the missed-call calculator before you talk to us.
How long does it take to go live, and what do you need from us?
Days, not months — the founder builds every agent personally, so the timeline is set by how fast the clinic can hand over its information, not by a development queue. What we need: the doctor list with consulting days and timings, slot length, holidays and leave handling, your consultation fees, the 15 to 20 questions patients ask most with the answers you approve, your escalation rule for urgent cases, and which languages your patients speak. We build the first workflow around that, you test it on your own number, we fix the wording, and only then does it take real patient calls. The process page walks through each step.
A clinic AI receptionist should make appointments easier without crossing medical boundaries. The win is simple: fewer missed calls, fewer forgotten appointments, and cleaner handoff to staff.
Tell us your clinic type and appointment flow. We will show the safest first workflow to automate.
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Written by
Rohith Sriramula
Founder & CEO, Dvaarik AI
A laid-off engineer who went all in on Dvaarik AI — he builds every custom AI voice agent personally. This is written from hands-on work with Indian businesses, not theory.