We turn scattered services — POS, delivery marketplaces, reservations, reviews, purchasing and scheduling — into a single AI agent system. The agents run orders, the kitchen, staff and finance 24/7 and lift the restaurant's margin.
Six areas where a US restaurant loses time and money. We close them with one system wired into your current stack — no "tablet hell" and no manual data re-entry.
This isn't one bot — it's a team of specialized agents. Each owns its area, they share data with each other and work around the clock. The agents take the routine; strategic decisions on menu, pricing, hiring and purchasing stay with you.
For each key service in the US stack — a dedicated AI agent with a detailed breakdown of features, business benefit and honest API-access terms. We'll assemble the ones you need into one system for your restaurant.
Ask about yesterday's shift, margin, kitchen and schedule — and get a ready answer with recommendations.
Yesterday, all channels:
What we can do:
Create the supplier order and update the 86-list?
Order sent, 86-list updated. For Friday:
The schedule draft is ready. Pricing, menu and hiring I leave for your approval — tell me what to launch.
Want an AI director like this for your restaurant?
We connect to the services your restaurant already uses. Where there's an open API we integrate directly; where access is partner-only or unavailable — via ready aggregator connectors and RPA.
A US restaurant's net margin is usually thin: full-service around 3–5%, fast casual and QSR 6–9%. Profit "leaks" into food cost, overtime, marketplace commissions and empty tables. The agent system targets exactly these lines.
| Margin lever | Typical share | What the agent system does | Effect |
|---|---|---|---|
| Food cost | 28–35% of revenue | Stock control, auto-orders, 86-lists, fewer write-offs and overpayments | +0.5–2 pts |
| Labor | 28–34% of revenue | Scheduling to demand forecast, overtime control, fewer admin hours | +1–3 pts |
| Delivery marketplace commissions | 15–30% of delivery | Move some orders to your own channel, optimize delivery-menu pricing | +1–3 pts |
| No-shows & table turnover | 5–20% of reservations lost | Confirmations, reminders, waitlist, smart seating | +1–2 pts |
| Average check | — | AI upsell, combos and recommendations on every order | +1–2 pts |
| Routine & errors | 4–8 hrs/day | One order window, auto-reporting, minimal manual entry | time + fewer losses |
* Figures are indicative ranges based on typical US restaurant-industry benchmarks and our automation projects; they are not a guarantee. The line-item effects partly overlap and don't add up one-to-one. The actual result depends on venue format (full-service / fast casual / QSR), revenue, delivery share, region and current processes. We give a precise estimate for your restaurant after a free audit.
Toast, Square, Clover (POS), DoorDash, Uber Eats, Grubhub (delivery), OpenTable, Resy (reservations), Yelp and Google (reviews), 7shifts and Homebase (scheduling), QuickBooks and Stripe (accounting and payments). Where there's an open API we connect directly; where access is limited — via partner integrations, menu aggregators or RPA. We'll check your stack →
No. The agents take the routine: order and call intake 24/7, menu sync, stock control, shift scheduling, review responses and reporting. Decisions on menu, pricing, hiring and purchasing stay with the owner and manager — the system prepares data and recommendations, and the final "yes" is yours.
By our estimates and typical industry benchmarks — net margin grows by 5–15 percentage points through lower food cost and overtime, less dependence on marketplace commissions, fewer no-shows and a higher average check. This is a guideline, not a guarantee: the actual result depends on format, revenue, delivery share and current processes. We give a precise estimate after a free audit.
Basic setup and integrations — from 7–14 business days. Then a test period on the restaurant's real data and a gradual agent rollout. Full launch — usually 3–6 weeks depending on the number of locations and connected marketplaces.
Some services limit access (for example, DoorDash Marketplace order intake is currently closed to new partners), and several reservation and advertising services open their API only by partner agreement. In those cases we use partner integrations, ready menu-aggregator connectors or RPA automation — the system still works in one window.
Yes. Credentials are stored in a secured environment, agents operate on least-privilege, and all actions are logged. Payment data never passes through the agents — payments are handled by certified providers (Stripe, Square, POS processing).