Discovery Sprint
Two weeks, fixed fee. We map your operation, score the opportunities and hand you a costed roadmap — whether or not you build with us.
Strategy without engineering is a slide deck. Engineering without strategy is an expensive experiment. We do both — under one roof, with one accountable team.
Most AI programmes fail before a line of code is written — they pick the wrong problem. Our advisory work maps your operations, quantifies where AI genuinely moves a number you care about, and sequences a roadmap that funds itself: quick wins first, ambitious builds second.
Buying licences is easy; changing how a team works is not. We embed tools like Claude Code, Codex and Copilot into your real workflows — with the guardrails, playbooks and hands-on training that turn spend into output.
Our engineering practice designs and delivers production AI systems: autonomous agents that complete real work, MCP servers that connect models safely to your data and tools, and automation that survives contact with reality. Delivered in focused one-week sprints, documented, and handed over.
An AI app that "seems fine" in a demo can quietly fail in production. We build evaluation harnesses, run structured test suites and benchmark accuracy, reliability, safety and cost — then give you a prioritised fix list, not a shrug.
Two weeks, fixed fee. We map your operation, score the opportunities and hand you a costed roadmap — whether or not you build with us.
One week per outcome. A tightly-scoped build or enablement push, shipped and handed over with evals, docs and a runbook.
Ongoing, month to month. We operate, measure and extend what we’ve shipped — and act as your team’s senior AI bench.
That's what the first call is for. Thirty minutes, no obligation, honest advice.