Restaurants industry

AI operations for restaurants, cafés and bars

Answer the phone during service and after closing, take bookings into the booking system, send confirmations and reminders, answer the routine questions, qualify group and event enquiries and draft review replies. Your team keeps allergen questions, complaints and every event quote.

Each price below is the starting price for one system. Any allergen question beyond your published list goes to a person at once.

Restaurants operating stack
4 systemsfrom the ringing phone to the review reply
Calls and bookings
AI receptionist
Confirmations and reminders
onboarding
Events and reviews
support agent
Weekly view
reporting

The page connects current AIGROW offers. It does not assume that every team needs the complete stack.

A restaurant, café or bar can hand AI agents the front of house admin: answering calls during service, taking bookings, sending no-show reminders, qualifying event enquiries and drafting review replies. AIGROW builds each system at a published starting price and can run it as an AI Operations function. Allergen questions beyond the published list go to a person.

4 systems, each with its own scope

The prices below come from the current offer pages. They are starting prices for individual systems, not a quote for the complete workflow.

AI ReceptionistAnswer calls during service and after closing, book, move and cancel tables in the booking system and answer routine questions about hours, parking, the menu and the published allergen list. Any allergen question beyond the published list goes to a person at once. It never guesses what a dish contains. to build, then $149 a month to run. No per-minute surprises.From $390Live in 5 to 7 days
Onboarding AutomationSend the booking confirmation, a reminder before the booking with a way to change or cancel where your booking system has one, and the review request after the visit. The manager approves every message and sets the deposit and cancellation policy. Exceptions stay with the manager. One-time deployment with delivered source and 30 days of production support.From $190Live in 5 to 7 days
Support AgentSort email, website and message enquiries, ask group and event enquiries the questions you set, such as date, party size and budget, and draft replies to new reviews. The events manager writes every quote, and a manager approves every review reply. One-time deployment with delivered source and 30 days of production support.From $290Live in 7 to 10 days
Reporting PipelinePrepare the weekly view of phone bookings, no-shows, open event enquiries and reviews waiting for a reply from the systems in scope. The owner decides what to change. One-time deployment with delivered source and 30 days of production support.From $190Live in 5 to 7 days

A Friday booking, from the lunch rush call to the review reply

Hypothetical workflow. It shows how the four published systems could support a busy restaurant. It is not a customer story or a claim about results.

A call during the lunch rushThe AI receptionist answers, books a table for eight on Friday in the booking system and answers a question about parking.Staff handle anything off the scripthuman owner
A question about allergensThe caller asks about a nut allergy and a dish the published list does not cover. The receptionist does not guess: it takes the details and passes the call to a person at once.A person answers the allergy questionhuman owner
Confirmation and reminderThe sequence sends the confirmation, then a reminder the day before with a way to change or cancel.The manager sets the cancellation policyhuman owner
An enquiry for a private eventThe support agent asks the date, party size and budget questions you set and passes a complete enquiry to the events manager.The events manager writes the quotehuman owner
Monday morningNew reviews have draft replies waiting, and the weekly report shows phone bookings, no-shows and open event enquiries.A manager approves every replyhuman owner

Match the bottleneck to the smallest useful system

A workflow belongs in scope only when its inputs, rules, owner and acceptance check can be written down.

Current bottleneckPublished systemWhat stays human
The phone rings out during serviceAI ReceptionistAllergen questions beyond the list
Tables sit empty after no-showsOnboarding AutomationDeposits and the cancellation policy
Event enquiries wait days for a replySupport AgentEvery event quote and review reply
Nobody counts phone bookings and no-showsReporting PipelineWhat to change

Before automating Restaurants work

Scope boundaries, current tools, human approval and how to start with one system.

The receptionist reads only the allergen information you published. Any question beyond it, such as cross-contact in the kitchen or a dish not on the list, goes to a person at once: a transfer during opening hours, or a callback request flagged as urgent outside them. It never guesses what a dish contains.

Booking systems such as OpenTable, SevenRooms or Resy differ in the access they allow. AIGROW checks each connector before the scope is approved. Where direct booking is not possible, the receptionist takes the request and a person confirms it. A missing connector can change the price or timeline.

Yes. It says so at the start of the call and confirms it whenever asked. A caller who asks for a person is transferred during your hours, or gets a booked callback outside them.

It does not take card details on a call or decide a charge. Deposits and no-show fees run through your booking system under your policy, and any exception is the manager’s call. Reminders state the policy in the words you approve.

Yes. The same work can run as an AI Operations function on a monthly plan. AIGROW hosts the agents, keeps the review queue and the action logs and sends a weekly report, while your team handles every exception. The AI Audit is the first paid step: it maps which front of house tasks agents can take and what that work costs today.

Start with the calls during service.

Book the AI Audit to see which front of house work agents can take, or describe the workflow now. AI Operations can then run what is built, with your team handling every exception.

Starting prices shown · written scope · human controls named