Diagnostic

AI Readiness Scorecard

Twelve questions, about four minutes. You get a readiness band, a dimension-by-dimension breakdown, and the three moves that matter most next — no sales call required to see the result.

0 of 12 answered
  1. Decisions

    1. Can you name the specific decision AI is meant to improve?

  2. Decisions

    2. How is the work reaching the team today?

  3. Data

    3. Could you assemble 500 examples of the decision with known outcomes?

  4. Data

    4. Where does the context an agent would need actually live?

  5. Governance

    5. Do you have written delegation boundaries — what an agent may decide alone?

  6. Governance

    6. Can you reconstruct why an automated recommendation was made?

  7. Governance

    7. How is unsanctioned AI use handled today?

  8. Operating model

    8. Who owns the outcome once a system is live?

  9. Operating model

    9. What happens when the model is wrong?

  10. Operating model

    10. How far has an AI system gone in your organization?

  11. Measurement

    11. Do you have a baseline for cost, cycle time, or quality on this work?

  12. Measurement

    12. How do you evaluate quality before something ships?