Enterprise AI Framework
Provide the master architecture integrating all data and AI capability.
Methodology
Integrating model that connects governance, data, analytics, AI and value into one accountable, scaled enterprise capability.
Components
Strategy & value; Data foundation; Analytics & BI; AI & ML; Governance & risk; Operating model & culture.
Governance
Board and executive own; CDO/CAIO leads; integrates all sub-frameworks. 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
Enterprise AI strategy; Integrated operating model; Value realisation.
Across the Data & AI ecosystem
Knowledge graph · 20 relations