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.

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

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

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

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

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?