Mobilise Sponsorship
Establish executive sponsorship, decision rights, and funding authority.
Organisation-Wide Capability Progression · Approved Baseline
Enterprise AI Transformation
An organisation-wide methodology for establishing, governing, implementing, operating, improving, and scaling enterprise AI capability across fourteen canonical stages.
Where Should We Begin?
Transformation Entry Point & Mandate
Enterprise AI Transformation begins with executive sponsorship and clear boundary setting. Before purchasing tools or selecting models, organisations establish accountable ownership and risk appetite.
Discover Baseline
Inventory current-state capabilities, systems, data, and active AI experiments.
Assess Readiness
Evaluate evidence gaps, capability maturity, and gap remediation priorities.
Define Strategy
Agree enterprise ambition, target operating model, AI principles, and roadmap.
Progression Framework
Four Phases of Enterprise AI Transformation
The fourteen stages move systematically across four governance and delivery phases.
Foundation & Baseline
Stages 1–3: Mobilise sponsorship, discover current state, and assess organizational readiness.
Strategy & Governance
Stages 4–6: Define strategy, establish governance controls, and prioritize opportunity portfolio.
Architecture & Delivery
Stages 7–9: Build business case, design target architecture, and plan integrated execution.
Execution & Scaling
Stages 10–14: Build, test, deploy, operate production, and continuously scale value.
Fourteen Canonical Stages
Explore the Transformation Progression
Every stage provides clear objectives, primary outputs, decision gates, and traceable stage links.
Executive Assurance
Decision Gates & Scorecard
Progress through each phase requires formal gate approval by named decision owners backed by verified evidence.
Transformation Scorecard & Roadmap
Track capability progression, risk disposition, and gate compliance across all fourteen stages.