Get your AI out of the pilot and into production.
We take the AI project your team can't finish or can't start, build it inside your real systems, and hand you something that runs, with evidence the answers are right. You pay for the result, not the hours.
Where we come in
Three ways AI gets stuck.
Most companies don't need another strategy deck. They need the thing finished.
The pilot that won't graduate
It works in the demo. It fails security review, breaks on real data, or nobody can say whether the answers are right.
The tool IT can't support
Someone on your team built something useful with AI tools. Now it needs login, permissions, monitoring and an owner.
The product nobody has capacity for
The idea is approved and the roadmap is full. Hiring a team would take longer than building it.
How it runs
Four steps. Each one earns the next.
Every step has a fixed price agreed before it starts. If it takes us longer, that's ours to absorb.
The plan
One week with the engineer who will build it. You get the outcome, the design, the acceptance criteria and a fixed quote, in writing. The fee is credited in full toward the next step, and the document is yours either way.
Finish it
Your stalled pilot, prototype or internally built tool, running in production: sign-in and permissions through your identity system, evaluation that shows whether the answers are right, monitoring, deployment and a clean handoff. If it fits in six weeks, this is all you need.
Build it
For anything bigger than six weeks, or anything that doesn't exist yet. A new AI product, agent system or workflow, delivered in stages, designed, built and verified end to end, integrated with your data, tools and approvals, and accepted against criteria we agree up front.
Own it
A Product Engine owns the product line after launch, with one senior owner answering for it: it ships, monitors, fixes and improves continuously, inside your Slack or Teams, GitHub, Jira or Linear.
What makes it production
The parts a demo leaves out.
It can be trusted
An evaluation built on your own examples, so you can see how often the system is right and catch it when it isn't.
It passes review
Your identity system, least-privilege access, private deployment where you need it, and an audit trail from the first day.
Someone owns it
Monitoring, a deployment path and a named owner, whether that is your team after handoff or an Engine that stays.
Get in touch
Tell me what's stuck.
Thirty minutes, with me. Bring the system, the constraint and the deadline. You'll leave knowing whether we can ship it and what it would take.