AI Readiness Framework

Methodology

Readiness model across strategy, data, talent, technology, governance and culture with a gap-closure roadmap.

Components

Strategy readiness; Data readiness; Talent readiness; Technology readiness; Governance readiness; Culture readiness.

Governance

Executive/AI leadership own; data office and HR enable. 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 readiness diagnostic; Foundations build; Readiness roadmap.