Reservations, takeout orders, and simple questions all come in on the same line, right when the host stand and the kitchen are busiest. A caller who gets no answer does not wait, they call the next restaurant on the list. We build the AI that answers the phone, takes the reservation or the order, and only pulls in a person for what actually needs one.
Built around the rush, when the phone is the first thing that gets ignored.
The phone is nobody's full-time job. It rings while the host is seating a full room and the line cook is calling out tickets, and it goes to a busy signal or nothing at all. That caller does not leave a voicemail, they dial the next restaurant. One study of more than a million restaurant calls puts numbers on it.
Same kitchen, same dining room. The difference is the phone no longer competes with the floor for someone's attention.
A few of the highest-value places to start. Examples, not the limit of what we build.
An AI phone line answers, books, and confirms a table during the rush, so the host isn't running the floor and the phone at the same time.
The AI takes a to-go order over the phone and sends it straight to the kitchen ticket, cutting out the written notepad in the middle.
A walk-in on a long wait gets a text the moment their table is ready instead of standing at the door watching the room.
A short text after the visit asks how it went, with a review request sent to the guests who say it was good.
Hours, menu questions, and next-day reservations covered after the last table has been sat and the lights are off.
It is the middle of the rush. The dining room is full, the host is seating a party of six, and the phone starts ringing. Nobody has a free hand to answer it. Instead of a busy signal, the caller reaches an AI line that sounds like a person, asks the party size and the time, checks what's actually available, and books the table. The confirmation lands in the same system the host is already using. Nobody on the floor had to stop what they were doing.
The rush is exactly when the phone gets ignored. That is also exactly when it matters most.
A next-day booking or a simple question gets handled whether or not anyone is at the host stand to take it.
Built to sync with the reservation and POS systems your restaurant already uses, not a new system to learn.
Flowziv is building its restaurant case studies now; the above describes the pattern we build for, not a specific past client.
An assessment call, no pitch. We look at how your calls, reservations, and orders run today and show you the two to three highest-value places AI would save time or win back business that's walking to the next place.