Is Your Data Ready for AI?
AI applications can only operate effectively when the information underneath them is accessible, understandable, sufficiently reliable and appropriately governed.
Scope
Assessment areas.
A structured engagement with a defined output, not an open-ended discovery exercise.
- Data catalogue coverage
- Lineage
- Business definitions
- Data quality
- Master data
- Ownership and stewardship
- Accessibility
- Security and permissions
- Data contracts
- AI use-case dependencies
Output
A clear view of the information gaps that could limit AI adoption, together with a prioritised remediation roadmap.
Next step
Assess your AI data readiness
Tell us where you are starting from and we will scope it with you.