The guest asking about a late check-in at 11pm wasn't on the phone. She was on your website.

An AI receptionist for hotels is software that answers guest questions and enquiries the way a front desk does — availability, room type, amenities, check-in times, cancellation policy — but by phone, around the clock. Maya does the same job on the hotel's WEBSITE, where a large share of enquiries actually start: a browsing traveller asks whether the family room sleeps four, whether there's parking, whether a late arrival is possible, and gets a real, current answer by voice or text, in their own language, instead of an unanswered form. It reads the hotel's own pages and rates to configure itself, live in about ten minutes.

Last updated 2026-07-16

Where a phone-based front desk stops

A front desk answers the phone during a shift, in the languages the staff on duty happen to speak. But for many hotels, a growing share of enquiries now start on the website, at any hour, from a traveller who isn't ready to call — an American checking Wi-Fi before booking, a family comparing room sizes at midnight their time, a tourist typing in a language nobody on shift speaks well. The phone was never ringing; the question just went unanswered and the visitor booked elsewhere.

Maya covers that door. Once an assistant can greet an international guest in their own language, answer from the hotel's real rates and rooms, drive them hands-free to the booking page, and capture the ones who aren't ready yet — "receptionist" undersells it. Calling it a hotel chatbot is like handing a traveller a paper tourist map and calling it a guide — Maya is closer to the local who actually walks them where they need to go.

What Maya does for a hotel

It sets itself up from your site — you don't build it, you point it at your hotel's pages — Maya reads your room types, rates, amenities and policies and configures itself — no FAQ to write, no flows to draw. You review what it learned and correct anything in a sentence. A small hotel or B&B is live in about ten minutes, not a project.

It greets every guest by voice or text — in their own language, from the first word — the traveller can talk to it or type to it, and Maya opens in their language, not the hotel's. A guest never selects a language from a menu — the site simply already speaks theirs. That first moment is what tells them this isn't a static booking form.

It answers room, rate and amenity questions from your real content — not a stale script — "does the family room sleep four," "is breakfast included," "is there parking" — Maya answers from what the hotel actually publishes, so the guest gets a correct answer at any hour instead of an email that arrives after they've booked elsewhere.

It drives the site for them — scrolling and navigating to the right room or page hands-free — the guest doesn't hunt through the site menu; they say what they want and Maya moves through the pages for them, hands-free — no mouse, keyboard, or screen — right up until they choose to book or pay. A traveller on a phone, one-handed with a suitcase, still gets to the right room.

It follows the guest's language — even when they switch mid-conversation — Maya replies in the language of every message, and if a guest slips from English into Italian mid-sentence, it follows without missing a beat or asking them to start over. When the hotel's site already has that language, it switches to the correct version, so the guest reads, asks, and books in their own words.

It captures the enquiry the moment the guest would have left without booking — the traveller comparing three hotels at midnight leaves a name, dates and contact instead of quietly closing the tab — a recoverable lead instead of a booking that went to a competitor's site.

It handles the "is it worth it" hesitation and offers the right option — a guest unsure between two room types gets an informed comparison and a reason to book, the way a good front-desk agent would in person — not a static rates table. (Booking plan and up.)

It tells you what guests kept asking for that your site doesn't answer — you stop guessing what's missing from your rooms page — your own guests surface the gap (late check-in, airport transfer, extra bed) every week.

What happens when Maya doesn't know the answer?

This is the question every hotelier asks about AI, and it's where Maya is strongest. Maya checks its answers against the hotel's approved information — rates, policies, room details — before it responds. When it can't verify something, such as a request outside the published policy, it says so instead of guessing, offers the guest the right next step, and flags the question for the owner. The owner can mark it correctly handled, or teach Maya the answer in one sentence.

What that means for you: Maya gets more useful over time without ever being rewarded for confidently inventing an answer — so it doesn't promise a late checkout it can't guarantee or quote a rate that isn't real. For a hotel, a wrong answer at the booking stage is a refund and a bad review; abstention is what keeps that from happening.