Think. Build. Ship. Run.
The four stages.
We map the problem, the data and the risks before anyone writes code, usually as the two-week AI Audit.
[Senior engineers] work in your repositories and your cloud, and show working software every week so you can steer.
A production rollout with evals, monitoring and a runbook, so your team can operate what we built.
We watch accuracy, speed and drift after launch and keep improving what matters, or hand over cleanly.
Every week.
A demo
Working software, not slides.
A written update
Progress, risks and the decisions we need from you.
A shared tracker
You see what we see, when we see it.
The old way, and ours.
| The usual way | Ours |
|---|---|
| A six-month discovery phase | A two-week audit with a real answer |
| Slides instead of software | Working software every week |
| A black-box handover | [Your code, your data, your keys], with a runbook |
Questions about working together.
Who will actually work on our project?
[The engineers you meet in the first call. We don’t hand projects to a separate team.]
Do we own the code and the data?
[Yes. Everything we build lives in your repositories and your cloud accounts.]
Can you work with our in-house team?
Yes. We can pair with your engineers, so the knowledge stays with you when the project ends.
How do we stay in control during the build?
A demo, a written update and a shared tracker every week, and a decision list we agree with you.
What happens after launch?
We can run and improve the system, or hand it over with a runbook. You decide.