Implementation guide
The AI Center of Excellence Guide
How to stand up a CoE that turns scattered AI effort into a governed, repeatable capability.
What it is
An AI Center of Excellence concentrates standards, governance and reusable capability so AI scales consistently instead of as one-off projects. This guide covers how to stand one up.
Why it matters
A CoE turns repeated effort into reusable capability.
It is where governance and standards actually live.
It builds the skills the rest of the org draws on.
How to do it
1
Define the mandate
Scope, charter and operating model.
2
Set standards
Governance, patterns and reusable assets.
3
Build the team
Roles, skills and ways of working.
4
Scale the capability
Enable delivery teams across the org.
Readiness checklist
0 of 6 completeTools you’ll use
Readiness assessment
Benchmarks the starting point.
AI governance checklist
Anchors the standards.
AI policy template
Codifies the rules.
Implementation plan template
Stands it up.
Risks to watch
Ivory tower
Keep the CoE enabling, not gatekeeping.
No reuse
Build and share reusable assets deliberately.
Unclear mandate
Agree scope and decision rights up front.
What to measure
1
governed capability
100%
cases to standards
Reusable
assets and patterns
Run this guide with us.
Start from a readiness baseline and we’ll implement it with your team, tied to outcomes.