Governance Platform

Governance Platform

From intake to an evidence-backed go-live.

Keep AI systems, classifications, operational risk and approvals in one register — with revision-bound decisions and evidence that is reviewed, not merely uploaded.

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From intake to go-live

The workbench follows a system through qualification, classification, assessment, controls and gates. Each approval binds to exact revisions; changed facts do not inherit a prior decision.

  1. 01
    Register the system

    Capture what it is, who owns it, and whether it is an AI system under your method.

  2. 02
    Classify and assess

    Keep AI Act classification and operational risk as separate records, with scores next to the drivers that produced them.

  3. 03
    Evidence and approval

    Attach evidence to criteria, accept it under review, then request go-live against a fixed snapshot.

Kept distinguishable

The product does not collapse legal duties into a single risk score. Each view stays named and attributable.

  • AI-system definition

    Qualification is answered before classification and scoring begin.

  • AI Act classification

    Regulatory class is recorded as its own judgement, not inferred from residual risk.

  • Operational risk

    Inherent scoring stays illustrative and versioned; residual credit requires accepted evidence.

  • Roles

    Owner, reviewer and approver remain separate from account identity and workspace membership.