The "AI Center of Excellence" pattern in large enterprises is often a committee that produces slides. The effective version is a function — a small team with specific accountability for making AI adoption coherent across the business. The difference between committee and function is the distinction between good intentions and operational outcomes.
What the function does
Five responsibilities:
- Architecture standards. What architectures are approved; what patterns are discouraged.
- Vendor evaluation. Which AI vendors have been through due diligence; which are approved for what workloads.
- Eval methodology. How AI workflows are evaluated for quality and regression.
- Security and compliance posture. AI-specific controls applied consistently.
- Incident coordination. AI-specific IR across business units.
Each is a concrete deliverable, not a slide.
How to staff it
Three-person minimum:
- AI architect. Understands the architectural tradeoffs.
- AI security lead. Handles the security and compliance work.
- AI product/business partner. Connects to business unit needs.
For very large organisations, scale up proportionally.
What the function does not do
Three avoidances:
- Does not become a bottleneck for every AI decision.
- Does not replace business-unit ownership of specific workflows.
- Does not mistake governance for progress.
The function is enabler, not gatekeeper.
How Safeguard Helps
Safeguard provides the tooling an AI CoE uses for its day-to-day work: architecture standards templates, vendor due diligence artefacts, eval methodology, security controls, incident playbooks. For organisations standing up an AI CoE for the first time, this is the infrastructure that makes the function operational from day one.