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Running the AI Center of Excellence

A Center of Excellence that never changes shape has usually stopped serving the program. What it needs to do at month one and what it needs to do at month eighteen are different jobs.

Stand up the steering structure first

Before you fund a single initiative, get three things in place: a steering committee with business and IT leaders in the room, a monthly progress-review cadence with sponsors, and direct access to C-level decision-makers so a stalled decision doesn't sit in someone's inbox for a month (Microsoft, 2025). Skipping this step to "get to the real work faster" is the most common way a CoE ends up with no authority to say no to a bad idea later.

Appoint a named leader for the function — not a rotating chair, not "the AI committee." One person who drives initiatives and is the single point of contact for turning strategy into delivered work (Microsoft, 2025). That's the seat this bundle is written for.

Build the backlog before you build anything else

The second most common failure is a CoE that reacts to whoever asks loudest. Create real intake and prioritization workflows, and maintain a running, prioritized backlog of AI initiatives (Microsoft, 2025). A backlog does two things a hallway conversation can't: it makes "no, not yet" a process decision instead of a personal one, and it gives your steering committee something concrete to prioritize against.

Know when the model has to change

A centralized CoE is the right model early — it consolidates scarce expertise and keeps early practice consistent. It is not the right model forever. Two signals tell you it's time to change: approval delays and knowledge bottlenecks, where your AI experts can't keep up with every team that needs them, and growing friction, where product teams and the CoE are frequently arguing over priorities instead of executing (Microsoft, 2025).

When you see those signals, the fix isn't more headcount in the center — it's giving delivery away. Transfer AI delivery to the platform teams themselves, and replace the CoE's gatekeeper model, which blocks work waiting for central sign-off, with an advisory group that sets guardrails instead (Microsoft, 2025). The steering committee and the backlog don't go away. What changes is who's actually building.

Sources

  • Microsoft — Cloud Adoption Framework — Establish an AI Center of Excellence, 2025. Form a steering committee with business and IT leaders, establish monthly progress reviews with sponsors, and ensure that the CoE has direct access to C-level decision makers. View source · verified 2026-07-02 · primary
  • Microsoft — Cloud Adoption Framework — Establish an AI Center of Excellence, 2025. Appoint an AI CoE leader... a dedicated leader who drives AI initiatives and acts as the single point of contact for AI strategy implementation. View source · verified 2026-07-02 · primary
  • Microsoft — Cloud Adoption Framework — Establish an AI Center of Excellence, 2025. Create intake and prioritization workflows... Maintain a prioritized AI initiative backlog. View source · verified 2026-07-02 · primary
  • Microsoft — Cloud Adoption Framework — Establish an AI Center of Excellence, 2025. Watch for approval delays and knowledge bottlenecks where AI experts in the CoE can't support all teams... growing friction where product teams and the CoE frequently debate priorities. View source · verified 2026-07-02 · primary
  • Microsoft — Cloud Adoption Framework — Establish an AI Center of Excellence, 2025. Transfer AI delivery to the platform teams... Replace the CoE gatekeeper model that blocks work with an advisory group that sets guardrails. View source · verified 2026-07-02 · primary