The patient who booked elsewhere checked your website first. Nothing answered.

An AI receptionist for a clinic answers the questions patients ask before they book — do you take my insurance, are you accepting new patients, how much is a cleaning, can I get in this week — the moment they ask, so a would-be patient doesn't hit a wall and book with whoever answered. Traditionally that receptionist works the phone. Maya does the same job on your website, by voice or text, 24/7, in the patient's own language, reading your own pages so the answers are accurate.

Last updated 2026-07-16

Where a phone receptionist stops

A front-desk receptionist answers the phone during opening hours. But a large share of appointment requests now start on the website — evenings, weekends, from a phone — and a growing number of patients research and book without ever calling. That website traffic is a front door the phone receptionist never sees: the patient lands, can't find whether you take their insurance, and quietly books elsewhere.

Maya covers that front door. Once an assistant can greet a patient in their own language, answer the insurance and availability questions from your real content, capture the appointment request framed and ready for your team, and follow up — "receptionist" is the small version of what it does. It's the layer that turns after-hours website traffic into booked chairs, without adding a shift.

What Maya does for a clinic

It answers the front-desk questions the moment they're asked — at any hour — hours, location, services, price ranges, insurance, whether you're taking new patients — answered by voice or text from your own pages, at 9pm on a Sunday. The enquiry that used to hit voicemail gets a real response and stays.

It greets every patient in their own language, from the first word — a patient whose device is set to another language is greeted in it, no selector clicked. For a practice serving a mixed community, that first moment — met in their own words — is what keeps them from bouncing to a clinic that felt more approachable.

It captures the appointment request framed and ready — not just a name — your team receives "new patient, wants a cleaning and a check-up, asked whether you take their insurer, prefers mornings, requested a callback tomorrow" — the meaning of the enquiry, ready to confirm, instead of a bare form entry. (Direct calendar booking on the Booking plan and up.)

It recognises a returning patient instead of starting from zero — where consented, Maya can pick up where a returning patient left off — "last time you were asking about the whitening treatment" — so the practice feels like it remembers them, not like a form that forgets everyone.

It tells you what patients kept asking for that your site doesn't explain — "eleven patients this week asked whether you offer evening appointments" — your own traffic surfaces the missing service or the unclear policy, so you know what to add or clarify.

It asks satisfied patients for a review, within the rules — after a good interaction it can invite a review, gated so it only asks genuinely satisfied patients — the reputation flywheel that fills your calendar, without your staff having to chase it.

What happens when Maya doesn't know the answer?

In a healthcare setting this matters more than anywhere, and it's where Maya is deliberately careful. Maya is a front-desk assistant, not a medical adviser — it answers logistical questions and captures requests, and it does not give medical advice or diagnoses. It identifies itself as an AI assistant on first contact, and checks its answers against your approved site content before responding. When it can't verify something — a price, a policy, whether a specific treatment is offered — it says so instead of guessing, offers the patient the right next step, and flags it for you to answer or to teach Maya in one sentence.

What that means for you: Maya never invents a price, an insurance answer, or a clinical claim to satisfy a confident question — the kind of made-up answer that would be a real problem in a clinic. Honest limit: it handles the scheduling and enquiry front door only; anything clinical, or any detail not on your site, it routes to a human rather than answering itself.