AI agents for hospitality: guest messages, groups and staffing

A group of venues, not one hotel

This page covers the wider hospitality trade: pub and bar groups, event venues, serviced apartments, catering firms, multi-site restaurant brands and mixed operators. Hotels have their own page at AI agents for hotels, and single restaurants at restaurants. Here we focus on what multi-venue operators share.

Shared problems are staffing and consistency. Rotas change daily, cover is arranged by text, and each venue answers guests a little differently. Head office wants the same standard everywhere. An agent gives each venue a first responder that follows the group's rules and records everything in one place.

What we build

• A guest-enquiry agent for each venue's website and messaging channels that answers hours, menus, dietary options, parking and booking questions from that venue's own data.
• A group and event agent that qualifies enquiries for parties, weddings and corporate events by date, headcount, budget and space, and passes qualified ones to the events manager with a summary.
• A shift-cover agent that, when someone calls in sick, messages eligible staff in priority order and confirms cover with the manager.
• A supplier-order agent that reads stock counts and sales forecasts, drafts orders to suppliers and flags unusual variances.
• A review-reply agent that drafts responses to public reviews in your voice for a manager to post, and tags themes for head office.

Tools in this sector include OpenTable, SevenRooms, Resy, Planday, Deputy, Fourth, Lightspeed, Square and Toast, and guest messaging via WhatsApp or web chat. We use official APIs where they exist.

Guest and staff requests by type

Allergy and incident messages follow a fixed path: the agent acknowledges, does not speculate, and alerts the duty manager with the details. We test this path with example messages before launch.

Rules that apply in the trade

Hospitality has several regulated areas. Allergen information must be accurate and available in many countries, for example under food information rules in the UK and EU and equivalent state and federal rules in the US. Alcohol licensing, working-time rules and tip handling also vary. Check with your local authority, licensing board or employment lawyer about what applies. The agent states allergens only from data you maintain and links to it.

Staff messaging brings its own rules. Rotas and availability are personal data, and employees should know how it is used. Under GDPR in the UK and Ireland, staff have access rights. We keep staff data in your accounts, log what the agent reads and sends, and avoid using it for anything beyond cover and scheduling. The AI agent security checklist lists the controls.

How the project runs

1. Start with one venueWe pick a venue with a manager who wants it. We review about 40 real guest messages and a month of cover requests.
2. Build the guest agentIt answers from that venue's data only, with a clear handover to staff.
3. Pilot over a busy weekendManagers review everything the agent sends and we measure edits.
4. Roll out by venueEach new venue gets its own data and the same rules.

We work from Pune, with offices in Coventry and New York. Calls are timed outside service hours, and a short demo follows each week.

What it costs

Projects start at $1,500 and our rate is $30 an hour. A guest-enquiry agent for one venue is a small project, and extra venues are cheaper than the first because the build is reused. Price moves with the number of venues, the booking and rota tools and how much staff messaging is included. You get a fixed quote within one working day of a short call. See what an AI agent costs and AI agent development.