01
Sales to deposits
Daily POS and delivery sales matched to what actually landed in the bank, by unit, net of fees, tips, and refunds.
Waits for a person · Short or unmatched deposits over your threshold.
Restaurants
For restaurant operators, including quick-service restaurants (QSR). Sales to deposits net of fees, tips, and refunds. Distributor invoices coded by unit. Food, paper, labor, and prime cost from books that are actually closed.
Unit 208 · Tuesday · sample
Sample dataIllustrative reconciliation with sample figures.
The work
Each workflow runs on your rules. What doesn't fit a rule goes to a person.
01
Daily POS and delivery sales matched to what actually landed in the bank, by unit, net of fees, tips, and refunds.
Waits for a person · Short or unmatched deposits over your threshold.
02
Broadline and specialty invoices read, coded to food, paper, or supplies, and split to the right unit.
Waits for a person · Price jumps, credits not applied, new vendors.
03
Food, paper, and labor against sales per unit, weekly or by period, from the posted books.
Waits for a person · Units outside the ranges you set.
04
One queue of everything that didn't match a rule, with the source attached and the right reviewer named.
Waits for a person · Everything in it, by design.
From register to rollup
01 · Connected inputs
02 · Lieutenant does the work
03 · A person reviews
04 · You get
Illustrative flow. Payroll stays with your payroll provider; Lieutenant reads its reports.
Questions
No. Payroll stays with your existing payroll provider. Lieutenant uses payroll reports to post labor and build prime cost.
We confirm your specific POS, delivery, and bank connections during scoping. Where no direct connection exists, we agree on an export path.
On the cadence agreed in scope, commonly daily. It depends on when each source system makes data available, so we don't promise real time.
Whoever your rules name, often a GM or area manager per unit. Lieutenant prepares and routes; approvals stay with your people.
Bring one unit's sales and bank activity. We'll show you what matching and exception review look like on your own data.