AI agents for finance teams in restaurants

The cash-up happens at the end of a long shift, the till report is checked against banking by whoever is left, and a variance is only spotted days later when nobody remembers the shift.

→An agent compares the Z read, card batches, and cash banked each morning, lists every variance by tender with the voids and comps behind it, and leaves the manager to decide what to investigate.

Delivery platform payouts arrive in lumps net of commission, refunds, and adjustments that do not match the order list, so nobody traces them and a wrong commission rate goes uncontested for months.

→An agent traces each payout to its orders, checks the commission against the agreed rate, and lists the gaps with the evidence, so the owner decides whether to dispute with the platform.

Payroll deadline morning means pulling hours from the rota and clock-ins, splitting tips and service charge in a spreadsheet, and checking casual holiday pay, with a dozen people waiting to be paid.

→An agent builds the timesheet, the tronc allocation sheet, and the payroll input from the approved hours days ahead, and flags overtime and gaps for the manager to review.

Bills are coded in batches when the accountant starts asking, accruals are forgotten, and the VAT working paper is rebuilt each quarter from scratch, so the month closes three weeks late.

→An agent codes and routes bills as they arrive, proposes the weekly payment run, and assembles accruals, bank rec, VAT working, and the site P&L for the finance lead to approve.