12 questions · About 3 minutes

Is your data actually ready for AI?

Most AI projects don't fail on the model. They fail on the data underneath it — fragmented sources, undocumented logic, and metrics nobody agrees on.

This assessment scores your foundation across the six areas that determine whether AI returns answers you can trust, and shows you where to focus first.

What we measure

• CentralizationWhether your data lives in one governed place, and how it gets there.
• ModellingWhether business logic is version-controlled, tested, and reviewable.
• Semantic LayerWhether your metrics are defined once, consistently, and machine-readable.
• Quality & ReliabilityWhether issues surface through monitoring or through complaints.
• GovernanceWhether access and ownership are defined across your critical assets.
• AI EnablementWhether you have prioritised use cases and data an agent could actually use.