Define
Describe the problem, user, outcome and constraints.
Begin with a specific operating problem.
The strongest use cases describe the work, user, decision and measurable friction before selecting the technology.
This prevents an organisation from deploying AI merely because the capability is fashionable.
A controlled path to implementation.
01
02
Prepare
Establish approved information, tools and access boundaries.
03
Prototype
Test the smallest useful workflow with representative users.
04
Evaluate
Measure quality, risk, adoption and operational value.
05
Govern
Define review, escalation, monitoring and ownership.
06
Scale
Expand only when the system is sufficiently understood.
Move AI from a promising test into an operating capability.
Connect ownership, data, workflow controls and measurable outcomes so artificial intelligence can operate reliably beyond the pilot stage.