1.An AI Centre of Excellence should accelerate value under control
An AI Centre of Excellence should accelerate value under control. If it only reviews ideas, it becomes a queue. If it only builds models, it becomes another delivery silo. The durable design sits between strategy, platforms, governance and federated delivery.
2.Perspective 2
This guide describes CoE functions across five planes: strategy and portfolio; standards and architecture; enablement and community; platform and reusable components; and governance liaison with risk and assurance.
3.Intake and prioritisation are critical
Intake and prioritisation are critical. The CoE should help the organisation choose fewer, better use cases with clear decision owners, data readiness and outcome categories — then provide the patterns that make delivery repeatable.
4.Perspective 4
We also address operating cadence: portfolio reviews, design authority sessions, evaluation standards, reuse catalogues and skills pathways. Without cadence, CoE charters fade into aspiration.
5.The design is intentionally adaptable
The design is intentionally adaptable. A government department, a bank and a diversified enterprise will staff and stage the CoE differently, but the accountability planes remain recognisable.
