AI Readiness Assessment | Free Self-Test

How ready is your organisation for AI?

Answer honestly; the more you can tick, the smoother AI adoption will be.

1 You can name two or three specific processes where AI could save time or improve decisions
2 The data for those processes is stored digitally and accessible
3 Data quality is good enough that staff trust it
4 Someone owns the business outcome, not just the technology
5 You have rules for what data can and cannot be sent to external AI services
6 Key documents and knowledge are in searchable, current form
7 Staff are open to changing how they work
8 You can integrate new tools with your core systems
9 You know how you would measure whether an AI feature works
10 You have budget for a small pilot before a larger rollout

0 of 10 true

Your result appears here as you answer.

Discuss my result

What does AI readiness mean?

It means having the data, processes, ownership, governance and skills that let AI projects deliver value rather than stall.

Do we need perfect data to start?

No. Many use cases work with imperfect data, but you should know its limits and who owns it.

What should we do if our score is low?

Start with a discovery workshop and data foundations, and pick one narrow use case.

Technology Health CheckAssessments AI Development CostCost Guides Application Health CheckAssessments