AI Decision Explainability Gap

AI Decision Risk Simulator

Your existing systems detect activity and execute decisions. This simulation shows what happens when they cannot explain why an AI-assisted decision was made.

Desktop interactive workspace

The complete decision log and inquiry sequence are available on larger desktop workspaces.

Scenario path
  1. 01
    Decision activity

    Operational systems continue making and recording decisions.

    Fraud, audit, and credit tools each see part of the decision chain, but none preserve the full rationale.

  2. 02
    Evidence gap

    The decision exists, but its reasoning chain does not.

    This diagnostic demonstrates how decision activity can remain visible while decision rationale, policy trace, and supervisory evidence remain missing.

  3. 03
    Supervisory inquiry

    The evidence store cannot produce a reviewable decision record.

    When supervisory review began, the evidence store could not produce a reviewable decision record.

  4. 04
    Governed resolution

    Policy, workflow, and structured proof travel with the decision.

    Every consequential AI-assisted decision is wrapped in policy, workflow, and structured proof.

Explore the architectureReview enforcement signals