Most AI initiatives stall not because the technology fails, but because the organisation around it isn’t ready — the data is messy, no one owns governance, staff are untrained, or a privacy gap goes unnoticed. This 30-point checklist scores your readiness across the five areas that actually determine whether AI sticks.
How it works
The checklist is split into five weighted areas: data readiness, tooling and infrastructure, team skills, governance and process, and security and privacy. You tick the statements that are genuinely true today. The tool then computes an overall readiness percentage, breaks the score down by area, and highlights your weakest area as the place to fix first.
The breakdown matters more than the headline number. A team can have excellent tooling and still be unsafe to scale if security scores near zero — so a single weak area is treated as a blocker, not a rounding error.
How to use the result
- 80%+ — You have the foundations to scale AI across teams. Focus on measuring impact and expanding proven use cases.
- 50–79% — You are pilot-ready. Run scoped pilots while closing the gaps the breakdown surfaces.
- 25–49% — Early. Build data, policy, and training foundations in parallel with one small, low-risk experiment.
- Under 25% — Not ready for broad rollout. Start with security and data basics before introducing AI tools widely.
Re-run the assessment each quarter. Watching the weakest area climb is a better progress signal than any single launch.