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How Much Does an AI Receptionist Cost for a Medical Practice? (2026)
What AI voice agents and AI receptionists actually cost medical practices in 2026 — the four pricing models vendors use, which vendors publish anything, and the questions that decide your real invoice.
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 — month to month, no setup fee, after a first 30 days live are free.
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The healthcare vendors do not publish because the spread is genuinely enormous.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 penalised 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; the first 30 days live; additional athenaOne API access; and setup or implementation. Terms are month to month.
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 bad frame, because practices rarely cut the hire, and the ones that try usually regret it.
The honest frame is leakage. Count the calls that hit voicemail and never called back. Count the appointment slots that opened on Tuesday and stayed empty Thursday. Count the referrals that arrived and never reached a first visit. Count the eligibility checks that failed quietly and turned into denials.
That number is knowable from your own athenaOne data, it is usually much larger than the software, and it is the only number that makes a fair comparison between vendors possible.
Why practices pick us over Alternatives
Four parts, one platform, and each part uses the others. Most of the vendors on this site own one of these four well. The argument for us is that the same integration and the same patient memory carry all four, and that it is athenaOne only.
Patient engagement
We bring patients in and keep them close
We pick up the phone, day and night. Patients reach you by phone, text, chat or video. They book, reschedule, ask for a refill or get an answer. We call and text for you too — confirmations, recalls, and open slots to fill. Our AI remembers what a patient already told your practice, across every channel, so nobody repeats themselves.
Workflow automation
We do the staff work that piles up
A cancellation, a new referral, an overdue follow-up or a staff request starts a job. We do the steps, reach the patient if we need to, and hand the rest to your staff with everything they need. Your team sees the work in the Pretty Good AI Console or right inside athenaOne. Clinical decisions stay with your care team, always.
Referral management
We turn referrals into first visits
Referrals arrive by fax, portal and form. We track each one from intake to first visit, chase the missing information, reach the patient and book the visit. You see where every referral stands, and where the funnel leaks.
Revenue cycle
We keep revenue moving
Money leaks around every visit. We check insurance before the visit, track approvals so visits are not held up, call patients about balances, set up payment plans, and follow up on the claims your team hands us. Built to your billing team’s rules.
We only do athenaOne
One system means we go deep. We connect 500+ of the roughly 800 endpoints athenahealth exposes, and we read and write the real record — no middleware. Most vendors in this category connect ten or twelve. That depth is what lets a workflow finish instead of stopping at a handoff.
We build yours
If you can write down the rule, we can automate it. Your scheduling rules, your intake questions, your handoffs, your billing follow-up. And if another athenaOne marketplace app does a workflow you need, we can build it for you — same APIs, your rules, one vendor.
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
The mix is deliberately wide: FQHCs, family practice and primary care, OB-GYN, behavioral health, orthopedics, pulmonology and sleep, gastroenterology, urology, urgent care and surgery centers among them. Different specialties break the front office in different places, and the rules that fix them are not the same rules.
Customer-reported results. Your numbers will vary by workflow, staffing, seasonality and call mix.
Month to month, no setup fees. We build your first workflow before you pay anything, then the first 30 days live are free from the day it goes live — not the day we start building.
We don’t sell AI. We build yours.
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. Assort Health, Hyro, EliseAI, Talkie.ai, Luma Health, Artera, OhMD and Klara all 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 — 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 penalised when the agent performs poorly. Per call ties the invoice to work completed. Whichever model you are quoted, ask specifically how a hang-up, a wrong number, a spam call and a warm transfer are each billed — 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 does not bill the first 30 days live are free.
- 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?
- That is the wrong comparison for most practices, and vendors who lead with it are usually selling headcount reduction that does not happen. The practices that get the clearest return are not cutting staff; they are recovering revenue that was leaking — calls that went to voicemail and never called back, appointment slots that stayed empty, referrals that stalled before a first visit. Price the alternative against that leakage, not 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.
- Pretty Good AI pricing (accessed 2026-09-05)
- Assort Health company site (accessed 2026-09-05)
- athenahealth Marketplace product directory (accessed 2026-09-05)
- Luma Health — athenahealth Marketplace listing (accessed 2026-09-05)
- Artera — athenahealth Marketplace listing (accessed 2026-09-05)
See it against your own athenaOne data
The honest way to compare is on your own call volume, your own schedule and your own payer mix. Book a working session and we will walk your numbers.