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Never 86'd · agents

Operator OS · 8 agents wired · every figure source-tagged

— Eight agents · one operator OS

The agents that name the leak.

Each one reads a slice of your operation — sales, labor, voids, 3P fees, tips, catering, shift sentiment — and tells you the one thing to fix. Per store. Per name. Every figure source-tagged.

60 minutes free · drop a CSV →See pricing

— 01 · Voids

Void Hunter

For the COO · Owner

One name above the peer band.

Try Void Hunter

— What it catches

  • •Voids vs each store's own peer median (not industry benchmark)
  • •Per-store + per-name void rate, flagged if > 1.5× peer median
  • •Annualized excess-vs-peer dollar amount
  • •Pattern detection — not verdict

— Data it needs

Employee performance CSV (Toast / Square / Clover / PDQ) with Location, Employee, Net Sales, Void Amount columns. Or a live POS connection.

— What you'll see

KPI strip · per-store table sorted by void rate · top-15 names sorted by void $.

— 02 · 5 signals

Leak Detector

For the COO · CFO · Owner

Five theft signals, ticket-level.

Try Leak Detector

— What it catches

  • •Void after payment — paid then voided. The classic skim.
  • •Cash-only voiders — ≥80% voids on cash tender, ≥5 voids total
  • •Comp abuse — above peer band or > 10% of own revenue comped
  • •Promo stacking — two or more discounts on a single ticket
  • •Discount after close — discount applied after ticket closed

— Data it needs

Ticket-level CSV (Toast Sales Detail / Square Transactions / Clover Reports) with Location, Employee, Ticket Total, Tender, Void/Comp/Discount columns.

— What you'll see

Five color-coded signal cards · top-20 employee table sorted by composite risk score (red ≥ 50, orange ≥ 20).

— 03 · Delivery

3P Fee Finder

For the CFO · CEO

Contract vs blended-effective, per partner.

Try 3P Fee Finder

— What it catches

  • •Contracted DD / UE / GH take rate vs what they actually keep
  • •DashPass-blended math: dd × (1 − share) + 0.14 × share
  • •Per-partner renegotiation lever, named to the dollar
  • •The $585K UE+GH lever for our design partner — sourced

— Data it needs

Per-partner 3P payout statements + your contracted rates.

— What you'll see

Per-partner table showing contracted % · blended-effective % · annualized recovery surface if renegotiated to floor.

— 04 · Labor

Labor Leak

For the COO · Manager

OT drift before payroll closes.

Try Labor Leak

— What it catches

  • •Overtime drift per store, ranked by hours
  • •Ghost shifts — clocked time, zero sales attached
  • •Schedule-vs-clocked gaps, per employee per week
  • •Labor % vs budget, per store, with drift bars

— Data it needs

Schedule + timesheet data from 7shifts / Toast Payroll / Square Team / similar.

— What you'll see

Per-store labor scorecard · top OT offenders · ghost-shift list with the shift IDs.

— 05 · Tips

Tip Variance

For the CFO · Manager · Crew

Service slipping shows up here first.

Try Tip Variance

— What it catches

  • •Week-over-week tip movement per store
  • •Per-name tip drift — diagnostic for service quality
  • •Section vs server effects separated
  • •Leading indicator the P&L misses

— Data it needs

POS tip data — net tips per employee per shift / week.

— What you'll see

Week-over-week trend per store · per-name leaderboard sorted by Δ.

— 06 · Catering

Catering Leak

For the Chef · CFO · Owner

Where the order ran but the receipt didn't.

Try Catering Leak

— What it catches

  • •Per-store catering economics (mix, contribution margin)
  • •Invoice-vs-POS reconciliation gap
  • •Off-prem orders that ran without a ticket
  • •Per-customer concentration risk

— Data it needs

Catering invoices + POS catering category exports.

— What you'll see

Per-store catering scorecard · the reconciliation gap dollar amount · top-customer concentration.

— 07 · 3P Rates

Rate Card Audit

For the CFO · CEO

Where your DD/UE/GH rates sit vs peer band.

Try Rate Card Audit

— What it catches

  • •Operator drops their contracted DD/UE/GH rates
  • •Industry peer band (floor 10%, typical 18-20%, ceiling 30%)
  • •Position bar showing where they sit on the axis
  • •The "contract vs effective" gap typically 1.2-2.8pp at multi-unit scale

— Data it needs

Just your contracted rates — no POS connection needed.

— What you'll see

Verdict card with position bar · the lever amount · industry peer-band context.

— 08 · Shift

Shift Pulse

For the Manager · Crew

Tonight's shift in one screen.

Try Shift Pulse

— What it catches

  • •Covers vs forecast, live during service
  • •Station median, set as the floor
  • •Tonight's goal — the one number that matters
  • •Streak count — zero-comp shifts, voids under the line

— Data it needs

POS live feed + forecast input (or last 8-week average).

— What you'll see

Single-screen crew view · pacing meter · the goal · the streak.

— The rule that runs the agents

Every figure ships source-tagged.

— Verified

We can re-pull this from a primary source and defend it to the penny.

— Estimated

Modeled from a benchmark or assumption. We name the assumption next to the number.

— Unverified

Source not wired yet. Number is illustrative — operator-only.

No competitor in this category publicly source-tags figures. None publicly disclose model error. We checked. Read the case where we caught our own $8.3M number, walked it down to $1.81M in writing, and made source-tagging the operational rule that came out of it.

— Try one. Right now.

60 minutes. Your real numbers.

Drop a Toast / Square / Clover / PDQ export at /trial. Void Hunter and the Leak Detector run on your real data in 30 seconds. No card. No human in the loop.

Start the trial →See pricing