Built to lastbeyond go-live.
Operational discovery, data inventory, use case design, build, adoption and iteration. We treat them as one continuous process, working alongside your team throughout.
Built to last beyond go-live.
Bringing AI into restaurant operations means staying close to the work and the data. We treat design and adoption as one continuous process, working alongside your team throughout.
- 01Understand operations
- 02Inventory the data
- 03Frame the business question
- 04Design the use case
- 05Build the first version
- 06Try it on the floor
- 07Improve and operate
- 08Bring the learning forward
- 01Understand
- 02Design
- 03Build
- 04Try
- 05Improve
- 06Carry forward
What we learn in each engagement is kept in a shape that can travel to other stores or other areas, so the work compounds rather than ending with the project.
A few things we keep learning across engagements.
We're working with several restaurant operators. We don't share project details out of respect for our clients — but here are a few patterns we keep coming back to.
- Price increases become a business decision only when the floor's instinct backs them up.
- A new scheduling tool takes three to four weeks to earn store managers' trust. After that, things move fast.
- In overseas expansion, the quality of the initial manuals tends to determine half of the outcome.
- Menu revisions usually start from the conversation about the dish nobody wants to drop — not from food cost percentage.
- Whether something gets used on the floor depends less on its features than on its fit with the rhythm of the day.
Let's start with a conversation.
Revenue, margin, labor, store quality, overseas growth. We're happy to hear what's on your mind and think it through with you. There is no charge for the proposal.