02 / Build
AI systems and integrations
Purpose-built agents, retrieval systems, and automation with the controls included.
The work
What this engagement is designed to do.
We design and build AI-enabled services around a defined operational problem. Evaluation, access boundaries, observability, and human escalation are treated as product requirements from the start—not as a hardening exercise at the end.
Good fit
When to bring us in.
- 01
A valuable workflow has already been identified and needs a dependable technical design.
- 02
A prototype has proved the interaction but not the operating model.
- 03
Existing systems and data need to be integrated without creating a new platform dependency.
- 04
The team needs a partner that can own both the AI behaviour and the engineering around it.
Deliverables
Concrete outputs, tied to ownership.
The exact scope is agreed before delivery. These are the outputs that normally make the engagement useful after it ends.
- Deliverable 01Problem definition and measurable acceptance criteria
- Deliverable 02Architecture, threat model, and data-flow design
- Deliverable 03Evaluation set and release thresholds
- Deliverable 04Production implementation in your repository
- Deliverable 05Runbooks, training, and ownership handover
Expected outcomes
What should be different.
- 01
A service that can be measured before it is trusted
- 02
Clear boundaries around data, tools, and permissions
- 03
An implementation your team can own and evolve
Bring us the difficult part
We can define the right starting point together.
Send us the context, the current constraint, and the decision you need to make.
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