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Built into production, not bolted on after.

We build AI into software and we advise on AI adoption. Every engagement runs on the same agentic delivery system — that is what makes the timelines short and the result trustworthy.

What we build

Software, running in production

Engagements that end with working systems in your environment. All three run on the same agentic delivery system; they differ in how much AI ends up in the product.

Production Application Development

Applications taken from concept to something running in production with real users on it, built through our agentic delivery system. AI inside the product where it adds value.

  • Problem validation, scoping and technical feasibility
  • Specification-driven build — requirements a person and an agent can both verify against
  • Short usable increments, with tests and end-to-end runbooks generated alongside the code
  • Production hardening, deployment, launch support and handover

AI in Existing Systems

Most of the value is in software you already run. We add AI capability inside it rather than standing up something new beside it.

  • Assessment of where AI helps in the current system — and where it does not
  • Retrieval and assistant features over your existing data
  • Integration with the auth, data and deployment model you already have
  • Incremental rollout behind flags, with a measured before and after

Agentic Systems & Automation

Multi-agent workflows and tool-using systems that carry real operational work — the kind that has to be right when nobody is watching.

  • Agent and tool design, with explicit failure and escalation paths
  • Orchestration across services, queues and human approval steps
  • Evaluation harnesses so behaviour changes are caught before release
  • Observability, cost controls and audit trails
What we advise on

Decisions, capability and controls

Leadership and decisions you can defend — with an engineering team behind them, whether we staff it or you do.

Fractional CTO

Technical leadership on your side of the table, running an agentic engineering team that ships — one we staff, one you already have, or both.

  • Delivery accountability and technical direction without a full-time executive hire
  • An agentic engineering team we staff and manage, reporting to you
  • Architecture, build-vs-buy and vendor calls made by someone still shipping code
  • Your own engineers brought onto the same system, where you want that

AI Strategy & Governance

Where to invest, what to refuse, and how to stay defensible as regulation moves — grounded in what is actually buildable.

  • AI readiness assessment and prioritised opportunity map
  • Build-vs-buy analysis and technology roadmap
  • Governance framework: policy, oversight, model and data controls
  • Regulatory readiness — EU AI Act, GDPR and sector-specific obligations

Not sure which of these you need?

That is a normal place to start. Describe the system or the team, and we will tell you which of the above applies — including when the answer is none of them.

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