Clinic AI Receptionist India Cost: ₹2/min

Dvaarik is self-serve SaaS today: there is no setup fee and no minimum commitment. You log in, add your services, staff, hours and knowledge, connect channels, and pay only for what your agents actually do.

Credits are prepaid and never expire; at zero balance agents pause gracefully, so there are no surprise bills. Agencies and developers can sell the same platform under their own brand through the white-label partner programme, and set their own client pricing.

The headline rate and the rate you can buy at are rarely the same number in this market, and clinics get caught by it more than most because the low advertised figures assume outbound call-centre volumes that an OPD does not generate. Every figure below was read on that vendor's own website on 21 Jul 2026, with the terms attached.

Two things worth saying plainly. First, none of these figures came from a search snippet, an AI summary or another vendor's comparison page — we tried all three during collection and each produced at least one wrong number. One widely-cited comparison page publishes a per-minute range for Bolna AI that contradicts Bolna's own published rate on its own pricing page, and AI assistants have been repeating it. Check the vendor's own page before you sign anything; rates in this market moved within weeks during our collection.

Second, ConnectAI is the one on this list built specifically around clinic operations, and it publishes its pricing openly, which several vendors on this list do not. If you want an off-the-shelf clinic product with a public price and you are comfortable with a monthly subscription plus ₹4/min, it is a reasonable shortlist entry and we would rather you knew that. What we do differently is the shape of the deal, not a claim to be the lowest: ₹2/min applies from the first minute with no plan underneath it, and the agent is built to your clinic's scripts rather than configured inside someone's template. The maintained board for every vendor we track is the India AI voice agent pricing index.

Dvaarik is self-serve SaaS today: there is no setup fee and no minimum commitment. You log in, add your services, staff, hours and knowledge, connect channels, and pay only for what your agents actually do.

Credits are prepaid and never expire; at zero balance agents pause gracefully, so there are no surprise bills. Agencies and developers can sell the same platform under their own brand through the white-label partner programme, and set their own client pricing.

Generic receptionist copy tells you the AI "answers calls and books appointments". For a clinic that is not a plan. These are the specific flows that pay for themselves, roughly in the order we would launch them.

Report-ready enquiries. The highest-volume, lowest-value call in any clinic with a lab attached. "Is my blood report ready?" takes a human 60 seconds and produces no revenue. The agent checks the status field, tells the patient ready or not ready and by when, and sends the collection timing on WhatsApp. At 90 such calls a month that is ₹180 of credits and about an hour and a half off your front desk.

The doctor-on-leave rescheduling wave. A consultant cancels Thursday's OPD at 8 pm on Wednesday. Eighteen patients need to be called, told, and offered another slot. Your desk staff have gone home. The agent calls all eighteen inside your allowed hours the next morning, offers the alternate slots you approved, locks the ones patients accept, and writes the changes where you can see them. This is the flow that costs a clinic most when it is handled badly, and it only works because outbound goes to your own booked patients — never a bought or scraped list.

After-hours booking and intake. A patient who calls at 9:40 pm and reaches nobody books somewhere else by morning. The agent takes the name, age, preferred doctor and the approved intake questions, offers the next available slot, and sends a WhatsApp confirmation with the address.

Pre-visit preparation. Fasting before a lipid profile, bring old reports and prescriptions, arrive fifteen minutes early for registration, carry the insurance card. Said on the confirmation call and repeated in the WhatsApp reminder, this cuts the wasted visits where a patient turns up unfasted and has to come back.

No-show reduction. WhatsApp confirmation at booking, a 24-hour reminder, a same-day reminder for high-risk slots, and a one-tap reschedule. For paid procedures and scans, a deposit collected through a payment link inside the conversation gives the patient something at stake that a reminder on its own does not.

Missed-call callback. Every number that rings out gets called back the next morning inside your calling hours, not at midnight. It is also the easiest flow to measure, because you can count how many of those callbacks became appointments.

What we do not automate, ever: the agent does not diagnose, does not prescribe, does not read out a report result or a value, and does not offer an opinion on whether a symptom is serious. Those are the boundaries, and they are set in the build, not left to the model's judgement.

Healthcare workflows need stricter boundaries than a salon or a real-estate flow, and a clinic script that has not been read and approved by the doctor should not go live.

The agent works from an approved list: symptom category, duration, preferred doctor or department, age group, and urgency flag. Nothing beyond that list gets asked. Anything the agent has not been given an approved answer for triggers a handover instead of an improvisation.

You decide what forces escalation — the patient asking for a person, a symptom category you have flagged, a complaint, or a question outside the script. Inside clinic hours the call can transfer to the desk or to a doctor's mobile; outside hours the agent takes the name, number and reason, sends it to staff on WhatsApp, and reads out your clinic-approved emergency instruction verbatim. That instruction is written by you, not generated.

On patient data: what the agent collects is what a front desk collects on a phone call — name, number, age band, preferred doctor, reason for visit. It is stored where you can see it and it is yours. Under the DPDPA framework you are the one accountable for that data, so the practical rules are to keep the intake list to what you actually need for the appointment, keep call recording off unless you have a reason for it and have told patients, and be able to delete a patient's record on request. Recording, if you want it, is ₹0.10/min on top. Our privacy policy sets out how we handle what passes through the agent.

Patients describe symptoms in the language they are comfortable in, and it is rarely the language on your signboard. A clinic in Hyderabad needs Telugu, Hindi and English in the same conversation, often code-mixed inside a single sentence; a clinic in Coimbatore needs Tamil and English. Dvaarik agents work across 22 scheduled Indian languages plus English at the ₹2/min Bharat Standard rate — the language is not a paid upgrade, which is worth checking against any vendor you compare, since several publish their entry tier as Hindi and English only and put regional languages on a higher plan.

Two things matter more than the language count for a clinic. First, the agent has to handle Indian names and doctor names spoken over a bad mobile connection without mangling them, so we test the actual doctor list and the actual locality names before go-live rather than a generic script. Second, whatever the agent understood must be repeated back and then sent in writing on WhatsApp, so the patient can check the doctor, the date and the time rather than trusting a phone call. The written confirmation is what removes the argument at the desk. More on how the multilingual side is built at /features/multilingual.

When the phone is not where you are losing patients. Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. If you are a walk-in-heavy clinic taking five or six calls a day and your front desk picks up on the first ring every time, the agent has to recover more than ₹7,000 of appointments a month to justify itself, and at that volume it usually will not. We will tell you so rather than sell you the build.

The subject described in this section: It is also a poor fit in two other cases. If nobody at the clinic can sit down for an hour to review and approve the intake questions and the escalation wording, the project should not start, because the wording is the product. And if your problem is inside the consultation rather than around it — queue management, billing, EMR documentation, insurance claims, pharmacy stock — an AI receptionist does not touch any of that, and a practice management system is what you actually need. We do not sell you one.

Where it does pay, it pays because of a specific leak: unanswered after-hours calls, busy tones during the OPD rush, or a no-show rate you can already see in your own appointment register. Put your own numbers into the missed-call calculator first.

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 before we start: the doctor list with consulting days and timings, slot length and how many patients per slot, holidays and leave handling, your consultation and procedure fees, the fifteen to twenty questions patients ask most with the answers you approve, your escalation rule for urgent cases, and the languages your patients actually speak.

No clinic software is required. The Booking agent can run on rules alone — it locks the slot during the call, writes the appointment to a sheet you can watch in real time, and sends the WhatsApp confirmation. If you already run a hospital management system or a CRM, we can wire the agent into it instead of the sheet; that is what custom integrations covers. Starting on the sheet is the simpler route and you can connect the software later once the flow has settled.

Then you test it on your own number, we fix the wording, the doctor approves the intake and escalation script, and only then does it take real patient calls. Start with one leak — after-hours calls or missed-call callback — and add reminders, the rescheduling wave and payment links once the first workflow is stable.

Today Dvaarik is self-serve with no setup fee and no required plan — usage is prepaid credits, voice from ₹2/min with whole-minute billing. Hear it before you decide — the live demo agent answers exactly the way your clinic's would. Then tell us your clinic type and your appointment flow on WhatsApp at +91 79956 76588, and we will tell you which single workflow to automate first, or that you should not bother.