AI Operating Model Framework
Define how AI capability is organised, delivered and run at scale.
Methodology
Operating-model model across structure, roles, delivery lifecycle, platform, partnerships and funding for scaled AI.
Components
Org structure & roles; Delivery lifecycle; Platform & MLOps; Centre of excellence; Partnerships & sourcing; Funding & governance.
Governance
AI leadership owns; CoE enables; platform/MLOps teams operate. L1 Initial L2 Developing L3 Defined L4 Managed L5 Optimised Ad hoc Basic, siloed Standardised & Quantified & integrated Predictive & embedded governed
Maturity levels
Implementation roadmap
Diagnose (assess maturity) → Design (tailor framework & governance) → Build (policies, standards, controls, pipelines) → Embed (training, culture, adoption) → Assure (test, benchmark, re-score).
Deliverables
Framework document, governance & RACI, policy/standard templates, maturity score & roadmap, board reporting pack.
Advisory opportunities
AI operating-model design; CoE build; MLOps enablement.
Across the Data & AI ecosystem
Knowledge graph · 7 relations