The six blocks that matter
Data and traceability
We know what data we work with, where it comes from and what its limits are.
Use cases
We prioritise concrete problems and not a diffuse list of ideas about AI.
Governance and risk
There are clear responsibilities, approval criteria and brakes when the case does not compensate.
Purchasing and providers
We choose tools and models with criteria of cost, dependency and compliance.
Internal adoption
Teams know how to use AI within a process, not just try it on their own.
Impact measurement
We can tell if the pilot saves time, money or risk instead of just generating noise.