AI for hospitality, built for the 5–100 person shop.
Restaurants, hotels, catering, and venues: operations that live or die on who shows up tonight and what got prepped before the doors opened.
Where does AI actually pay in hospitality?
Three places, in our experience. These are the clearest wins we see in operations like yours, not results we promise. In every one of them the machine handles the tireless part and the person on the floor keeps the judgment call.
The schedule is drafted against the week you are actually about to have.
Schedules get built from last week’s memory while covers swing with weather, events, and season. An automation drafts the schedule from your real patterns, and the manager still signs off on every shift and every swap. How that pattern-finding works is the subject of How the Machine Learns.
Confirmations, waitlists, and no-show follow-ups run themselves.
Every empty table that could have been filled is revenue gone for good. An agent confirms bookings, works the waitlist when someone cancels, and drafts the follow-up. The host still decides who gets the window seat and how to handle the regular.
Prep, ordering, and the end-of-day numbers in one view.
POS, scheduling, and ordering systems each tell a different story, and the manager reconciles them at midnight. An integration puts the day’s numbers in one place and drafts the order list from what actually sold. What gets ordered is still the chef’s call.
For most operators the right first move is the AI Readiness Audit: two to four weeks mapping where the hours actually go before anyone builds anything. Pricing is published, in plain numbers: audits run $3,500–$8,500; sprints $12,000–$45,000, fixed quote in writing.
One build, drawn to scale.
Of the example builds on our homepage, this is the one that maps most directly onto an operation reconciling POS, scheduling, and ordering by hand.
One operating view across the tools you already pay for.
Connects CRM, billing, and project software so the same job shows the same status everywhere. No more reconciling five screens by hand.
The win: one reliable picture instead of five that disagree.Illustrative builds, not client claims. What we’d actually scope is whatever your free assessment shows is worth automating first. The one build we can name is MARCUS, a private AI back office for a regulated lender.
AI for hospitality operations.
Want the numbers?
The full price list is published — audits, sprints, managed services, all on one page.
Read the price list →01What can AI do for a hospitality operation?+
Usually the manual reconciliation across POS, scheduling, and ordering, plus guest communication and the repetitive coordination between systems.
02How much does it cost?+
The AI Readiness Audit runs $3,500–$8,500; an AI Implementation Sprint runs $12,000–$45,000, quoted fixed in writing before work begins.
03How long does it take?+
An audit is 2 to 4 weeks; a build is 4 to 12.
04Do you work remotely or on-site?+
We run two hubs — Denver, Colorado and Phoenix, Arizona — for in-person work, and we work remotely with businesses across the US. Same method, same fixed prices either way.
See the wins in hospitality.
30 minutes with a senior advisor who walks your staffing, reservations, and ops workflows and tells you what is worth automating, and what is not.