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Self-assessment preview

Where is your AI transformation capability strongest — and where is it constrained?

Rate the current repeatability and organisational capability in each domain. This is a directional self-check, not a validated enterprise assessment.

Use 1 for ad hoc/limited capability and 5 for repeatable, measured and continuously improved capability. A low score is a signal for investigation, not a diagnosis by itself.
1. Strategy & ValueAI ambition, business outcomes, investment logic, use-case portfolio and benefits realisation.
2. Leadership & Operating ModelOwnership, decision rights, funding, accountability and enterprise operating model.
3. Business Capabilities & ProcessesCapability change, process redesign, automation opportunities and human-AI work allocation.
4. Information, Knowledge & DataData quality, semantics, knowledge, metadata, context and information governance.
5. Enterprise & AI ArchitectureTarget architecture, integration, platforms, models, agents and interoperability.
6. AI Engineering & DeliveryExperimentation, evaluation, deployment, LLMOps/MLOps, agent engineering and monitoring.
7. Governance, Risk & TrustResponsible AI, privacy, security, assurance, model and agent governance.
8. People, Skills & CultureAI literacy, specialist capability, workforce redesign, leadership and adoption.
9. Transformation & ChangePortfolio management, roadmap, organisational change and implementation capability.
10. Measurement & Continuous EvolutionKPIs, value realisation, capability validation, feedback and continuous improvement.