The real cost of a missed call
On a Friday in Soho, the pass is full and the phone is ringing. Staff choose the table in front of them. The takeaway caller hangs up or goes to a delivery platform that takes a cut.
That is not a “growth” problem. It is an ops leak. Algonix case work with a Soho trattoria recovered about £3.2k per month in phone orders once calls were answered and paid without pulling chefs off the line.
What an AI phone agent should do
A useful restaurant phone agent is boring in the best way.
- Answers on your existing number
- Handles menu questions and dietary notes without guessing
- Takes payment or a clear collection plan
- Drops a paid ticket onto the kitchen rail or till flow
- Falls back to a human or callback when something is unusual
What it should not do
It should not invent prices, force a new guest app, or strand the kitchen with unpaid mystery orders. Every Algonix build keeps a manual fallback: if the internet dies, the phone still rings the old way.
How to start without a big IT project
Start with free AI onboarding. We map the rush-hour failure points, ship the phone-order automation as one of your two free workflows where it is the highest-value leak, and show you the answered-call and revenue numbers in plain English.