AI Centre of Excellence Operating Mode Selector
An AI centre of excellence operates in one of a small number of modes, and the mode should follow from the organisation’s conditions rather than from ambition. Where business units already hold technical delivery capacity, the centre should enable rather than deliver.
Most centres of excellence fail by choosing a mode that does not match the organisation around them: delivering where units can already build, or enabling where nobody can.
The template
Answer these and the mode usually chooses itself.
| Question | If yes, points toward |
|---|---|
| Do business units already have technical delivery capacity? | Enable |
| Is the immediate demand two or three high consequence systems? | Build |
| Is the organisation already deploying AI without oversight? | Govern |
| Is the sponsor's stated goal a named flagship deliverable? | Build, with a sunset date |
| Is the sponsor's stated goal organisational capability? | Enable |
| Is there an existing risk or assurance function? | Enable, and partner rather than duplicating Govern |
| Is the budget under five full time equivalents? | Choose one mode only |
How to use it
- Answer the questions honestly about current capacity, not the capacity you intend to build.
- Let the answers point to a primary mode and a secondary mode, and state both in the charter.
- Revisit the mode when delivery capacity in the business units changes materially, because the correct mode moves with it.
Where this goes wrong
The failure modes below are the ones worth checking for first. Each describes a way this artefact stops doing its job while still appearing to be in use.
- The mode is chosen from ambition rather than from staffing. A centralised centre of excellence with two people delivers a queue, not a service. Pick the mode the current headcount can actually run, then change it when the headcount changes.
- Nobody decides what the centre is allowed to refuse. A centre that cannot say no becomes a general technology helpdesk within a quarter, and the governance work it was created for stops happening.
- The federated mode is selected without any shared standard underneath it. Federation without a common register, a common risk tier, and a common approval gate produces divergence with a coordinating committee attached.
- The mode is never revisited after the pilot phase ends. The arrangement that suits five exploratory projects rarely suits fifty production systems, and the transition is a decision rather than something that happens on its own.
Common questions
What operating model should an AI centre of excellence use?
It depends on conditions rather than ambition. Where business units already have technical delivery capacity, the centre should enable them rather than deliver for them. Where immediate demand is concentrated in two or three high-consequence systems, delivery or governance modes fit better. Most centres of excellence fail by choosing a mode that does not match the organisation around them.