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Govern the decision, not just the model.

Connect model risk, controls, documentation, and evidence across global standards and local requirements.

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How it works.

  1. Inventory the system

    Identify the model, owner, use case, and decision boundary.

  2. Describe the risk

    Map impact, failure modes, oversight, and evidence.

  3. Validate the claim

    Tie behaviour to evaluation data and operating limits.

  4. Maintain the record

    Track controls, changes, incidents, and reviews.

Built for the operating decision.

Control mapping

Relate controls to the concrete decision flow.

Readiness support

Structure evidence for governance and assessment.

Traceable ownership

Make owners, reviewers, and revalidation explicit.

Plan the deployment.

  • Which AI-supported decision is in scope?
  • Who owns and reviews it?
  • What evidence must be retained?
  • Which changes trigger revalidation?

Readiness and implementation support do not constitute certification, legal advice, or regulatory approval.