Most organisations ask whether they are ready for AI after staff have already started using it. That is a reasonable starting point. The useful question is whether the organisation can use AI deliberately, with clear value and acceptable risk.
Start with the business problem
Readiness begins with a short list of problems worth solving: slow responses to customers, time lost on routine drafting, reports that take days to compile. If no one can name the problem, a new tool will not create value on its own.
Check four foundations
- Data: is the information needed for the use case accessible, accurate and owned by someone?
- Boundaries: do staff know what information must never go into an AI tool?
- Review: is there a person responsible for checking outputs before they are used?
- Skills: have teams been shown how to use AI for their actual tasks?
Look at ownership
AI work stalls when no one is accountable for decisions about tools, risk and investment. A named owner and a simple approval path are often the most valuable first steps.
Score it, then act on the gaps
A structured self-assessment turns a vague concern into a clear list of gaps. Low scores on information handling or verification deserve attention even when the overall picture looks strong. Pick the three weakest areas, assign owners and review progress in ninety days.
Next step: turn this into a plan for your organisation.