Methodology
Transformation model across vision, foundations, scaling, adoption, operating model and value realisation.
Components
Transformation vision; Foundations & readiness; Scaling pilots; Adoption & change; Operating model; Value realisation.
Governance
Executive sponsor owns; transformation office runs; AI leadership delivers. 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 transformation programme; Scaling roadmap; Adoption & change.
Across the Data & AI ecosystem
Knowledge graph · 4 relations