A virtual GM and a team of specialized AI agents handle hiring, inventory, execution, training, and analytics across every location — so multi-store ownership stops being a 70-hour week.
Pre-Capo: the owner spent the day reacting — phone buzzing before coffee, fires from every store, real work pushed to nights. Post-Capo: the morning is a 20-minute review of work the agents already did.
An AI-native product was designed around the agent first — not a forms-and-tables backend with a copilot bolted on the side.
You only ever talk to Capo. It briefs the rest. Each specialist owns a domain — hiring, inventory, the floor, training — and shares a single data foundation.
Ask in plain English — 30+ tools answer. It remembers what you said Tuesday and the right store hears it Wednesday morning. Memory turns into action without you asking twice.
Indeed resumes screened in seconds. Candidates ranked PASS / MAYBE / FAIL. Interview invites drafted. You make the final call.
Live defrost inventory across stores. 24 / 48 / 72-hour expiry alerts. Order quantity recommended from forecast plus consumption history. You hit send.
Connect your existing cameras. The agent watches live frames, replays history, and reviews snapshots. Anomalies caught within a minute.
Your head chef talks. AI writes the SOP — equipment, weights, timing, temps.
Agent · 06Today's sales + 14 days of history → tomorrow's prep list, per ingredient, per store.
Agent · 07Real-time conditions translated into shift to-dos. Spots bottlenecks before peak.
Agent · 08SOPs auto-convert to phone-based quizzes. New hires hit the line ready.
Agent · 09From offer accepted to first shift — I-9, uniforms, schedule, manager check-in.
Capo is in command. Specialized agents each own a domain, report up, and call each other's tools. They share a single data foundation. You only ever talk to Capo — it briefs the others.
Single-store products stretched to multi-store don't reach. Generic chatbots forget you. Restaurant ERPs don't watch your floor.
The agent gets smarter the more you use it. ChatGPT starts from zero every time. We don't. Preferences, store nicknames, the KPIs you watch, your industry-specific terminology — remembered, scoped to your account.
Central kitchen + multi-store dispatch / receive / reconcile, designed from day one for ≥3 locations. Not a single-store product stretched to fit a chain.
A Pi bridges to your existing NVR. The agent literally sees your floor — not just an API into your POS. FIFO scans, prep cadence, idle equipment — observable.
We run a 2-store chain on Capo every day. Ricemill is customer #1 — every feature ships against a real P&L before a buyer ever sees it.
Ricemill is a 2-location concept that runs end-to-end on Capo. Numbers below are pulled directly from Riceman production. Updated as the deployment evolves.