02 · Adoption & Change
Adoption, Change & Enablement
A tool nobody uses returns nothing. Adoption is a design problem - operating model, workflow, training and measurement - not a communications exercise bolted on at the end.
Scope
AI operating model
Who owns AI decisions, which forum approves what, how initiatives are funded, and where accountability sits when something goes wrong.
Project
Change programme design
Stakeholder map, phased rollout plan, communications, and an honest read on where resistance will come from and why.
Project engagement
Workflow redesign
The process around the tool rebuilt so the new capability fits how people actually work, rather than being added on top.
Project
Role-based team training
Separate tracks for executives, managers, engineers and analysts - each ending with people able to do something they could not do that morning.
Per programme
AI champions & internal capability
Identifying and equipping the people inside the organisation who will carry this after we leave.
Programme
Staff AI policy & acceptable use
Practical internal guidance people will follow: what is allowed, what is not, what needs review, and who to ask.
Fixed price
Adoption measurement
Usage, time saved and quality tracked against the business case - plus a diagnosis and a plan when adoption stalls.
Fixed price or retainer
Fixed-scope entry point
The usual ways in
4–8 weeks
AI Enablement Programme
Role-based training for executives, managers, engineers and analysts, plus the champions and policy needed to make it hold after we leave.
1–2 weeks
Adoption Health Check
For AI already deployed and underused: what is actually blocking adoption, and the shortest route to changing it.
Is this the right engagement for you?
Describe the situation in a few lines. If something else fits better - or nothing does - we will say so.