AI-ready data scorecard

Is your data ready for AI?

Ten questions, about three minutes. You get an instant score, a view across five areas, and the two things we would fix first.

What it measures

  • 01Use cases & ownership
  • 02Platform & pipelines
  • 03Quality & definitions
  • 04Governance & compliance
  • 05AI access
  1. How clearly defined are your AI use cases?

    01How clearly defined are your AI use cases?

  2. Where does the data for those use cases live today?

    02Where does the data for those use cases live today?

  3. How reliable are your data pipelines?

    03How reliable are your data pipelines?

  4. How much do people trust the numbers in your reports?

    04How much do people trust the numbers in your reports?

  5. Are key business metrics defined the same way everywhere?

    05Are key business metrics defined the same way everywhere?

  6. Can someone find and understand a table without asking whoever built it?

    06Can someone find and understand a table without asking whoever built it?

  7. How is access to sensitive data controlled?

    07How is access to sensitive data controlled?

  8. Do you know which regulations apply to the data AI would use?

    08Do you know which regulations apply to the data AI would use?

  9. How could an AI assistant or agent reach your data today?

    09How could an AI assistant or agent reach your data today?

  10. Who would own an AI system once it is live?

    10Who would own an AI system once it is live?

0 of 10 answered