How we work
Most AI projects stall after the demo. Our process is designed to reach production, with checkpoints so you can stop, adjust or scale at every stage.
Map workflows, data and goals. Pick the use case with the clearest return.
~1 weekA working proof of concept on your real data, measured against agreed success criteria.
2–4 weeksProduction product: integrations, UI, security and human-approval flows.
6–12 weeksAutomated evaluations, QA, guardrails and red-team tests before every release.
Every releaseMonitoring, cost optimisation and new capabilities as usage grows.
OngoingStage by stage
01 · Discover
Workshops with your team, a review of your systems and data, and interviews with the people who do the work today.
02 · Prove
We build the smallest version that answers the key question: does this work well enough to be worth building properly?
03 · Build
Two-week sprints with demos, daily progress updates, and weekly reports on progress, budget and risks.
04 · Evaluate
Traditional QA for software, plus automated evaluation sets for AI behaviour, run before every release.
05 · Scale
We monitor quality, uptime and costs, and keep adding capabilities as your team finds new uses.
Ways to work with us
Let's talk