A three-stage path to AI in production. Our framework meets you at your stage and moves you to the next.
We do not skip stages. Most AI initiatives fail because they lack a proven plan.
Train the team, license the tools.
FoundationsBuild the risk and governance layer.
GovernanceDevelop agents against real work.
Agents01 / Crawl
FoundationsPeople are already using AI tools, often without IT knowing. Data is leaving the building. There is no policy.
AI training across your teams, an enterprise licence with your chosen provider, and the policies that govern use.
A trained team on a licensed footing, with a baseline of AI knowledge across the organisation.
02 / Walk
GovernanceFoundations in place and AI in daily use. What is missing is a clear view of the risk: what AI is being used for, and how well each control holds up.
Risk management built on Adaca RED: initiatives and risks registered, controls scored, and a dated record that survives staff changes and audits.
AI risk that is visible, scored, and current.
03 / Run
AgentsTrained, governed, and ready to build. The question is which processes justify an agent first, and in what order.
Agents built with your team against the processes with the clearest return, measured against real work before they go live.
Agents in production against high-value processes, with the gains documented.
A 60-minute diagnostic session locates your organisation on the Crawl, Walk, Run map and names the single next move that unlocks the next stage.