How Much Does an AI Receptionist Cost? (2026 Pricing Guide)

The short answer

Almost no healthcare AI voice vendor publishes a list price, so the useful question is not what it costs but how it is metered. Four models dominate in 2026: per minute, per call handled, per provider per month, and a flat platform fee per location. The model matters more than the rate, because it decides whether your invoice rises when the AI works well or when it works badly. Pretty Good AI publishes its pricing model: platform fee per location, per-provider fee for the modules switched on, and voice metered per call the AI actually handles, with hang-ups, wrong numbers and spam not billed at all. No setup fees, month to month after a free first 30 days live, with pricing for continued use agreed before launch.

Why nobody will give you a number

Search this question and you will get a lot of confident dollar figures from sites that have never sold a healthcare AI deployment. Treat them the way you would treat a quoted price for “a car.”

The healthcare vendors do not publish because the spread is genuinely enormous. A one-doctor practice wanting after-hours coverage and a thirty-location orthopedic group automating referral intake are both buying “AI for the front office,” and the second is a hundred times the first. A list price would be wrong for almost everyone who read it.

That is a real reason. It is also convenient, and it is why the pricing model is the thing to compare instead. The model is knowable before a sales cycle, and it tells you more than the rate does.

The four models, and what each one does to you

Per minute. Standard for the general-purpose voice AI platforms. Simple, and quietly misaligned: a patient who is confused, an agent that is slow, a caller left on hold: all of it costs you more. The vendor is not penalized when the product underperforms.

Per call handled. Tied to work rather than time. The critical follow-up is definitional: what counts as handled? Ask how a hang-up, a wrong number, a spam call, a voicemail and a warm transfer to your staff are each billed. Vendors differ enormously here and the differences do not appear on a rate card.

Per provider per month. Predictable, easy to budget, and the usual choice for module-style products. It stops tracking value if provider count and workload diverge.

Platform fee per location, plus usage. The common enterprise shape. Covers the integration, configuration, monitoring and support that exist whether or not a call comes in, with variable work metered on top.

Most serious vendors combine two or three of these. Pretty Good AI uses three: platform per location, per provider for the modules you switch on, and voice metered per call the AI actually handles.

The lines that decide your invoice, and are never on the pricing page

Ask every vendor these, in writing, before you compare quotes.

Is there a setup or implementation fee, and is it refundable if we do not go live? Is the integration itself a separate charge, or does deeper API access cost extra later? What is the contract term: month to month, annual, multi-year? Are the first 30 days live fully featured, and are they billed? What happens to the price when we add a location, add providers, or turn on a second workflow? And what is the minimum, because a stated per-call rate against a monthly floor is a flat fee wearing a usage costume.

That last one catches more buyers than any other.

What we publish, and what we do not

We do not publish a list price. We do publish the model, which we think is the part you can actually use.

Three components get metered: a platform fee per practice location per month, a per-provider fee for the modules you switch on, and voice priced per call handled, with contained calls, warm transfers and voicemails rated differently from one another. Four things are never billed: hang-ups, wrong numbers and spam; additional athenaOne API access; and setup or implementation. We agree on the first workflow, how success will be measured, and the pricing for continued use before launch. There are no setup fees. Your first 30 days live are free. The clock starts when your first agreed workflow goes live in your practice, whether that is voice, web scheduling, referrals or another workflow. When the free 30 days end, service continues automatically, month to month, at the pricing in your order form. New workflows are priced when activated.

The full breakdown, including the four inputs that decide the number, is on our pricing page.

Price it against the leak, not against a salary

The framing most vendors reach for is headcount: the AI costs less than a front-desk hire. It is a weak frame, because it collapses three different returns into one. Cash savings are recovered revenue: calls that hit voicemail and never called back, appointment slots that opened on Tuesday and stayed empty Thursday, referrals that never reached a first visit, eligibility checks that failed quietly and became denials. Avoided hires are a real saving too, but they are a different line. Redeployed staff time matters most where the same people now do work that was going undone.

That leakage number is knowable from your own athenaOne data, and it is the number that makes a fair comparison between vendors possible. Count incremental completed visits, not bookings times gross charges, and keep implementation time separate from the free live period when you annualize.

Frequently asked questions

How much does an AI receptionist cost for a medical practice?

In 2026 there is no published list price from the healthcare-specific vendors, and general-purpose voice AI platforms quote per minute rather than per practice. What practices can compare is the pricing model. Expect one of four: per minute of call time, per call handled, per provider per month, or a platform fee per location with usage on top. A single-location practice buying phone coverage only will land in a very different range from a thirty-location group turning on referral intake and revenue workflows, which is why vendors quote rather than publish.

Do AI voice vendors for healthcare publish pricing?

Very few. OhMD publishes starting prices on its pricing page ($300 per month Core, $500 per month AI & Automation, calling usage billed separately). Assort Health, Hyro, EliseAI, Talkie.ai, Luma Health, Artera and Klara direct buyers to contact sales rather than publishing a rate. Pretty Good AI does not publish a list price either, but does publish the pricing model itself, including what gets metered, what is never billed, and the four inputs that decide the number, so a practice can understand the offer before a sales cycle.

Is per-minute or per-call pricing better for a medical practice?

Per call is generally safer for the buyer. Per-minute pricing means a confused patient, a slow AI or a long hold costs you more, so the vendor is not penalized when the agent performs poorly. Per call ties the invoice to the vendor's definition of a handled call, so the billable definition is the contract term to check; it is not automatically outcome pricing. Whichever model you are quoted, ask specifically how a hang-up, a wrong number, a spam call and a warm transfer are each billed, since that is where per-minute and per-call quotes diverge most.

Are there setup or implementation fees for AI voice in healthcare?

Often, yes, and they are frequently the largest first-year line. Implementation, integration and onboarding fees are common in this category and are usually negotiable. Pretty Good AI charges no setup fee and no implementation fee, and your first 30 days live are free, starting when the agreed workflow goes live.

What decides the price of an AI voice agent for a practice?

Four inputs. How many locations go live and in what order, which is usually the largest driver. How many providers the modules cover. Real monthly call volume and how much of it the AI is expected to contain rather than route to staff. And how many workflows beyond the phone are switched on: voice only, or referral intake, schedule and capacity, revenue protection and reporting as well.

Is an AI receptionist cheaper than hiring front desk staff?

It can be, but headcount is the wrong frame to buy on. The return shows up three different ways: cash savings from recovered revenue, avoided hires you no longer need, and existing staff time redeployed to other work. Staffing reductions do happen at some practices, but the clearest returns come from recovering revenue that was leaking, such as calls that went to voicemail and never called back, appointment slots that stayed empty, and referrals that stalled before a first visit. Price the alternative against that leakage, not just against a salary.

Sources

Everything stated here about another vendor comes from that vendor's own public material or from the athenahealth Marketplace listing, on the date shown. Vendors change their products and their pricing; if something below is out of date, email contact@prettygoodai.com and we will correct it.

Why athenaOne practices evaluate Pretty Good AI

We are your AI team for athenaOne.

Your practice has its own providers, processes, and rules. Pretty Good AI works with your team to fit the first workflow to the work you want to improve, agree on how to measure it, and keep improving it as your practice changes.

Live and measured

100,000+: patient calls a month, at more than one customer
About 60%: of those calls handled start to finish by the AI at the largest deployments
Hundreds: of providers inside a single group
20: specialties on our athenahealth Marketplace listing

Customer-reported results. Your numbers will vary by workflow, staffing, seasonality and call mix.

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