AI Answering Service for Hotels and Motels in Canada

Front desks juggle the lobby and the phone, badly

Your front desk is working a queue of guests checking in and out, asking for recommendations, and reporting room issues. Meanwhile the phone rings with a new reservation, a wedding-party block, a guest chasing a forgotten item, an OTA misroute. Independent properties routinely send 30 to 50 percent of calls to voicemail or hold during peak check-in and check-out, and a reservation call that hits hold abandons to the OTA, costing you 15 to 25 percent commission you'd have kept on a direct booking.

A 1n1.ai phone number sits on top of your existing line and catches every call. It handles reservation inquiries, captures group bookings, fields guest questions, and emails your front desk within a minute.

What the agent handles

• Reservation inquiries: dates, party size, room-type preference, rate and package questions
• Group blocks: weddings, corporate retreats, sports teams, reunions, with dates and rooms needed
• In-house guest requests (URGENT): late checkout, early check-in, maintenance and housekeeping issues
• Lost-and-found, cancellations and modifications
• Amenity, event-venue, corporate-rate, and loyalty questions: from your uploaded info
• Direct-booking incentives and local recommendations: from your concierge notes

It captures the inquiry; actual confirmation and rate-locking happens with your front desk or via the booking link you provide.

How Sophia answers for a hotel

Hotels and motels use our general receptionist. Sophia does not have a script written for hotels and motels yet, but she knows your hours, services, prices, service area and policies from the answers you give in the setup, and she asks for the fields you choose from every caller: name and phone always, plus the dates, the number of guests and rooms, and any group or event detail. She never confirms availability or a rate she cannot see; she takes the request and your front desk replies. When a caller asks something you did not cover, she says the team will confirm and writes the question down, so you read it in the summary a minute after the call.

Multi-language for guests

Hospitality is multilingual by definition. The agent speaks 70+ languages with native accents. A Mandarin-speaking family inquiring about a connecting-room booking for a graduation trip gets fluent Mandarin intake; your front desk recap arrives in English with the dates, party size, and room-type preference.

How it fits the front desk

1. A caller dials your property number.
2. Optionally, your front desk line rings first for a few seconds (human-first mode).
3. If it's on a queue, the AI answers in your property's name.
4. It identifies the call type and captures the inquiry with structured detail.
5. A recap lands in the front desk or sales inbox within a minute, URGENT for in-house guest issues.
6. Your team follows up with a rate, confirmation, or resolution, and the booking stays direct.

The monthly math

Small independent motels, B&Bs, and inns typically run on Starter at $79 CAD a month: 250 minutes of calls, with the local phone number and the website included. Mid-size and high-volume properties move to Pro or Business for more minutes; plans differ by minutes only, and there is no per-minute overage.

Set that against outsourced central reservations ($800 to $2,500 a month or 6 to 10 percent of converted calls) or losing bookings to OTAs at 15 to 25 percent commission, and it pays for itself in a few saved direct bookings.

Try it before you decide

Sign up, pick the closest business type, and answer a few questions about your property: hours, services, where you work, what to say about prices. Sophia is ready the moment you save, on a local Canadian number that is free for as long as you stay, with a simple website to match. Call your own number and listen to her answer; if she says something you would not, change the answer that produced it. Free for 7 days, no card. Set up my AI receptionist.

Serving a specific market? See the local guides for Toronto, Vancouver, Calgary, and Montreal.