Operating Model
Technology alone does not scale AI in an organisation — the operating model does. This section covers how leading organisations structure their AI capability: centralised Centers of Excellence, the intake process that routes new AI initiatives through governance, a shared component catalog that prevents duplicate work, and the training programs that turn AI policy into everyday practice.
In This Section
Centers of Excellence
Centralised, federated, and hybrid CoE models — responsibilities, team composition, and how to avoid the bottleneck trap.
Intake to Govern Pipeline
The stages an AI initiative moves through from idea to production — risk classification, review gates, and ongoing governance after launch.
Reusable Components Catalog
Building and maintaining a shared library of approved prompts, chains, and AI integrations — discoverability, contribution, and deprecation.
Training & Adoption
Designing AI training programs that change behaviour, not just awareness — tiers, reinforcement, and measuring adoption beyond completion rates.