Cheat sheetAII-05

Operating Model & Adoption

AI Intelligence / Operating Model & Adoption

Structure decides who delivers; adoption decides whether value lands. Choose CoE, federated, or hub-and-spoke to fit context, and measure usage and value, not deployment.

1
Centre of excellenceCentral talent, standards, platforms, governance. Consistent but can bottleneck.
2
Federated / hub-and-spokeCapability embedded in units; central hub sets standards. Pragmatic middle path.
3
Adoption disciplinesChange management, upskilling, and measurement of usage and realised value.
4
Right metricTrack active usage and outcomes (e.g. hours saved), not tools deployed.
⚑

Pick a structure that fits maturity and domain-specificity, then pair it with change management, targeted upskilling, and metrics tied to usage and value rather than delivery.

Fixing ignored toolsMove from central CoE to hub-and-spoke so practitioners adapt solutions to local workflows.
Metric shiftReplace "tools deployed" with "active usage and hours saved" as the scorecard.
No universally correct structure; choose by maturity, scale, and domain-specificity.
Adoption is a discipline, not an afterthought: change, skills, measurement.
Value is realised at the last mile through use, not at deployment.
operating-modelcoefederatedadoptionchange-managementupskilling
review in 6d