AI transformation
Agents that finish a job, not a chat.
We wire models into the tools you already run and measure hours saved, not prompts written.
01 / What we build
Workflow agents
Triage, drafting and handoff, with a log of what the agent did.
Tool use
Connections to the systems of record, with permissions narrower than a person.
Evaluation
A small set of cases we re-run when the model or the prompt changes.
02 / How an engagement runs
- 01Discover
We write down the users, the risk and the constraint that actually matters.
- 02Design
We architect the system, the threat model and the interface before the build.
- 03Build & audit
We develop, test and put an independent review on anything that holds value.
- 04Launch & scale
We deploy, watch the first weeks and leave a team that can run it.
Stack
- Python
- TypeScript
- LangGraph
03 / Selected work
Examples and migrated stories. Placeholder figures are marked.
Restaurant operations
A hospitality team asked for software that took repetitive work off the floor. The narrative below is the story from the previous site. Every figure in it is unconfirmed until the client signs off.
Questions
Do we need our own model?
Usually not. We start with a strong hosted model and move only if the data demands it.
How do you avoid silent mistakes?
The agent stops on low confidence and a person sees the queue.
Have something to build?
Tell us what you are shipping. We reply with a straight view of scope, team and timeline.