I onboard a lot of clinics, and the question I get on the very first call is always some version of: will this actually save us money? The honest answer is "it depends on your numbers" — so instead of quoting a customer figure, which would just be one clinic's specific situation, here's the model I actually walk people through. Swap in your own numbers and it holds regardless.
Setting up the model
Say a single-doctor clinic gets 40 calls a day — appointment requests, reschedules, "are you open today," prescription refill questions — across 26 working days a month. That's roughly 1,040 calls a month.
Ask most front-desk staff honestly, and they'll admit some share of those calls go unanswered: a patient is at the counter, the phone rings twice and stops, nobody's free to grab it during the morning rush, and every call after closing time or on the weekly off day goes to voicemail or nowhere at all. Say that adds up to 18% of monthly call volume going unanswered — about 190 calls a month.
What an unanswered call actually costs
Not every unanswered caller was going to book. Some were calling a second clinic anyway; some just wanted a quick answer and will try again later. Say, conservatively, that a third of those 190 callers would have booked an appointment if someone had picked up — about 63 potential bookings a month. At a modest average first-visit value of ₹500, that's roughly ₹31,500 a month, or about ₹3.8 lakh a year, in appointments that never entered the calendar.
What it costs to run AIVA on the full call volume
Now the other side of the ledger. If AIVA answers all 1,040 calls a month at an average length of 2 minutes, that's 1,040 × 2 × ₹4 = ₹8,320 a month — about ₹1 lakh a year, covering every call, not just the ones that would otherwise be missed.
The number that matters isn't what AIVA costs. It's what AIVA costs relative to what a missed call was already costing you — you just weren't seeing it on an invoice.
The comparison
On this model, running AIVA across the clinic's entire call volume costs around ₹1 lakh a year. The bookings recovered from calls that would previously have gone unanswered are worth roughly three to four times that, before counting anything else — and this model doesn't even include the phone-answering portion of a receptionist's time that's now freed up for the desk, or the fact that AIVA can take a call in Gujarati or Hindi from a patient who'd have hesitated to work through an English-language voicemail prompt.
A second clinic, a different shape
The single-doctor model above isn't the only shape this takes. Say instead a busier, three-doctor multi-specialty clinic gets 100 calls a day across 26 working days — 2,600 calls a month. A bigger front desk usually means a lower miss rate, so say only 10% go unanswered here — 260 calls a month. At the same conservative one-third conversion, that's about 87 recovered bookings a month. Multi-specialty clinics often see a higher average visit value too — say ₹700 once you blend consultation and diagnostic add-ons — putting recovered-booking value at roughly ₹60,900 a month, or about ₹7.3 lakh a year.
Running AIVA on this clinic's full 2,600-call volume, still at 2 minutes average, costs 2,600 × 2 × ₹4 = ₹20,800 a month, about ₹2.5 lakh a year. The ratio holds in almost the same range as the single-doctor example — recovered value running two to three times the cost of full coverage — even though every input number is different. That's the point of building it as a model instead of quoting one number: the shape survives, because both sides of the equation scale with the same call volume.
Where seasonality changes the math — and where it doesn't
Clinics are rarely flat across the year. Flu season, monsoon-related illness spikes, or a local health scare can double a clinic's call volume for a few weeks running. It's worth being precise about what that does to this model: both sides move together. If call volume doubles, the number of missed calls roughly doubles too (unless the clinic also doubles its front-desk capacity, which most don't during a short spike), and the cost of running AIVA on that volume also roughly doubles. The ratio between "cost of missing calls" and "cost of answering them all" tends to stay in the same range through a seasonal spike — which is exactly the case where a usage-priced receptionist earns its keep the most, since there's no bucket to blow through and no plan to upgrade in the two or three weeks a year that actually matter most.
What this model deliberately leaves out
To keep the math honest and easy to follow, this model only prices one thing: bookings recovered from calls that would otherwise go unanswered. It leaves out several other real savings on purpose, so it doesn't overstate the case:
- No-show reduction. SMS appointment reminders and confirmations reduce no-shows in most clinics that adopt them, which is a real recovered-revenue effect this model doesn't touch.
- Front-desk time freed up. A receptionist not tied up on the phone during a walk-in rush can spend that time on patients who are physically in front of them — hard to price cleanly, but real.
- Language capture. A patient more comfortable in a regional language than English is more likely to complete a booking on a call handled in their own language than to push through an English-only voicemail tree.
None of these are in the ₹3.8 lakh figure above. If anything, the model is conservative.
Building your own version
The model only works if the inputs are yours. Pull your real numbers: calls a day (you're entitled to itemized call billing from your telecom provider if you don't already track this yourself), a realistic missed-call estimate from whoever mans your desk, and your actual average visit value. Then run the same two calculations — cost of missed bookings, cost of full AIVA coverage — and compare them.
A couple of practical notes on gathering those inputs honestly. Pull at least two to three weeks of call log data, not one — a single week can be unusually quiet or unusually busy and will skew your average either direction. And when you ask your front desk for a missed-call estimate, ask for a number, not a feeling; most people underestimate how often the phone actually goes unanswered until they watch it happen for a day. A single-doctor clinic that's small enough to feel like every call gets picked up is often surprised by what a real count shows once someone actually tracks it for a week. If you want the underlying reasoning on how to turn ongoing usage into a single trackable number instead of a one-time estimate, cost per booked appointment is the metric worth tracking once you're live.
Every clinic's version of this comes out a little different. What's consistent across the ones I've worked through with customers is the shape of it: the missed-call cost is usually the bigger number, by a wide enough margin that the AIVA cost looks small against it. Your analytics dashboard will show you the real figures once you're live — calls handled, resolution rate, minutes used — so you're not stuck running this model on estimates for long. If you want to see how this looks specifically for clinics, our solutions page for clinics walks through the setup, or you can just start with the free credit and run your own numbers directly against a real week of calls.