Exceptions are where policy training breaks
Models cite precedent and generate plausible approvals. Reviewers must verify context differences, quantify blast radius, and document dissent when AI confidence exceeds evidence.
Auditable evaluation for approvers
Evaluation sessions produce marker scores and gap analysis suitable for audit trails and remediation plans.
Frequently asked questions
- Can we model our control framework?
- Yes. Workspaces are generated from your control library and exception taxonomy.
Approve exceptions with defensible judgment
Verify approvers before regulators ask why.