Executive Assessment

AI Readiness Assessment

From Experimentation to Operational Capability. Complete this structured executive self-assessment to receive an immediate maturity score, classification and recommended next steps.

All AssessmentsRequest NDA

Answer from what you can support. Use Unknown / not assessed when you cannot judge a control. Choose a known gap only when you know the practice is absent or ineffective.

All questions must be answered. An overall score requires at least 80% known answers and at least 60% known answers in every section. The result describes this self-reported profile; it is not an audit, certification or probability of an incident.

Data Readiness

Data Readiness

1. Is your business data centrally accessible?
2. Do you trust the quality of your data?
3. Do you maintain formal data governance?
4. Can critical business information be used for AI initiatives?
5. Do you understand data ownership across the organisation?
Infrastructure Readiness

Infrastructure Readiness

6. Can your infrastructure support AI workloads?
7. Have AI infrastructure requirements been assessed?
8. Do you understand the economics of AI workloads?
9. Have you evaluated cloud, sovereign and hybrid AI deployment options?
10. Can infrastructure scale with AI demand?
Governance Readiness

Governance Readiness

11. Do you have documented AI governance policies?
12. Are AI risks formally assessed?
13. Has accountability for AI been defined?
14. Are sovereignty implications considered for AI initiatives?
15. Do executives receive AI governance reporting?
Capability Readiness

Capability Readiness

16. Do leaders understand AI opportunities?
17. Does the organisation possess AI-related skills?
18. Are AI training programmes in place?
19. Do business units participate in AI planning?
20. Can the organisation adapt operating models for AI?
Operational Readiness

Operational Readiness

21. Do you have a defined AI operating model?
22. Can AI systems be monitored effectively?
23. Do you have processes for model lifecycle management?
24. Can AI outputs be audited?
25. Can AI initiatives move from pilot to production consistently?