Diagnostic

Where does your AI governance actually stand?

Ten questions. About ten minutes. You'll get a written read of which tier your AI systems fall into — Operational, Partial, Decorative, or Gap — and the two or three things to address first.

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0 of 10 answered
  1. Question 1

    Do you have a current inventory of every AI system in production in your organization?

    Including third-party tools that use AI under the hood.

  2. Question 2

    For each AI system, can you point to where the claimed capabilities are documented?

    Product pages, model cards, contracts, internal specs.

  3. Question 3

    Is there evidence that the AI has been tested against those claims?

  4. Question 4

    Is the AI's behavior monitored once it's in production?

    Outputs sampled, drift watched, escalation paths defined.

  5. Question 5

    Do you know where the AI fails?

    Documented edge cases, known failure modes, scenarios where it shouldn't be used.

  6. Question 6

    Does your organization have a written AI policy?

    Acceptable use, restricted use cases, approval gates, vendor requirements.

  7. Question 7

    When AI vendors require new contract language (DPAs, AI addenda, audit rights), are you ready?

  8. Question 8

    How prepared are you for AI-specific regulatory disclosure?

    EU AI Act, state-level US disclosure laws, sector regulators.

  9. Question 9

    If your board asked tomorrow "what is our AI risk exposure", how long would it take to answer?

  10. Question 10

    Who currently provides independent assurance that your AI is doing what you say it does?