AI CoE Design
Build the internal capability that makes AI self-sustaining.
What you get
Capability that doesn't leave when the consultant does.
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CoE operating model
Structure, mandate, governance, and funding model for the AI Centre of Excellence, including how it interfaces with business units and external partners.
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Knowledge transfer plan
A structured programme for building internal AI competency, covering tooling, practices, decision-making frameworks, and governance capability.
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CoE success metrics
The measures that will determine whether the CoE is building genuine capability or becoming an internal bureaucracy.
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Governance charter
The formal authority and accountability structure of the CoE within the organisation, including escalation paths and relationship to board-level oversight.
Who it's for
The AI capability owner.
Building the permanent AI function. Needs a CoE design that creates capability, not a team of gatekeepers who slow delivery down.
Responsible for AI as a strategic capability. Needs assurance that AI competency will outlast any individual hire or consultant engagement.
Governing the AI investment. Needs a CoE structure with clear accountability, measurable outcomes, and a path to self-sustainability.
What comes next
From design to self-sustainability.
Portfolio AI Roadmap
→Give the CoE a portfolio plan to execute and the measurement framework to prove it's working.
AI Team Design
→Design the delivery team that sits inside or alongside the CoE.
ROI & Value Reporting
→Measure what the CoE is actually producing — in terms leadership and the board understand.
Ready to build AI capability that doesn't leave when the project ends?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →