What is AI front of house?

The three things people mean by "restaurant AI"

Voice AI answers the phone. Products here take reservation calls and answer common questions, then write the booking into whatever reservation platform the restaurant already pays for. The restaurant ends up running two products from two vendors.

Reservation software holds the book. It records bookings, manages tables and stores guest profiles — and then it waits to be used. When the phone rings mid-service, a person still has to answer it.

AI front of house does both. The AI that talks to the guest is the same system that holds the book, so availability is read straight from the floor rather than through an integration, and everything around a booking happens in one place.

What AI front of house software does

Answers every channel. Guests now arrive by phone, email, SMS, WhatsApp, web chat and increasingly through AI assistants. One in three restaurant calls goes unanswered, most of them at peak service, and the catering email that lands on a Friday night is often read on Monday.

Holds the reservation book. Bookings, changes and cancellations from every channel land in the same book, which is what makes concurrent conversations safe — two guests calling at once can't be handed the same table.

Applies booking protection. Deposits can be requested per booking based on demand and risk rather than as one blanket rule, so higher-risk reservations carry a card and regulars book with nothing asked.

Runs the floor. Table allocation, waitlists, walk-in seating options and turn times sit alongside the reservations, not in a separate tool.

Keeps guest context. Visit history, dietary needs, occasions and seating preferences follow the guest across channels, so the team greeting the table knows what the person who took the booking knew.

Reports without being asked. A daily recap of covers, no-shows, refills and unanswered enquiries replaces logging in to pull a report.

How it differs from a phone answering service

An answering service, human or AI, takes the call — but whether the booking is right depends on what it can see. A product connected to your reservation platform through an integration reads a copy of your availability, so a table blocked seconds ago, a deposit rule changed this morning, or two calls arriving at once all have to travel between two companies' systems before the AI even knows. AI front of house removes that seam by holding the book itself. It also answers channels a phone product can't: the catering email, the WhatsApp message, the web chat at eleven at night.

What it does not do

It doesn't replace front of house staff. The work it covers is the work nobody had time for during service — the calls that ring out, the enquiries that go cold, the arithmetic of finding a table for a walk-in on a full floor. Hospitality has some of the highest turnover of any industry and persistent trouble filling front of house roles, so the case for AI front of house is the vacancy, not the people already on the floor. It also doesn't bring diner discovery. A marketplace like OpenTable sends new guests and charges per cover for them; AI front of house works on the demand a restaurant already has.

Who it suits

Independent full-service restaurants with existing demand and a small team — typically one to three sites — that are losing bookings before those bookings ever reach the system: unanswered calls during service, enquiries nobody replied to, cancellations nobody refilled, walk-ins turned away from a room that had space. It suits venues less well when the main problem is discovery, when ticketed events and gift cards drive the revenue, or when the buyer needs a full marketing-automation platform.

How Reserve A Table fits

Reserve A Table is an AI front of house for restaurants. It answers calls and messages across phone, email, SMS, WhatsApp and web chat using approved restaurant knowledge, holds the live book itself, scores each booking for no-show risk before requesting a deposit, ranks the three best ways to seat a walk-in, prepares ranked offers to refill cancellations, and provides an MCP server so compatible assistants such as ChatGPT, Claude and Gemini can check availability and book. Pricing is published at CAD $79, $149 and $299 per location per month with no per-cover fees, and setup takes roughly half an hour.