Story 04 · Governance & Risk Reviewer
Make an evidence-based governance decision
Move from a governance requirement to an explainable outcome, with the evidence and lineage a reviewer needs to defend the conclusion.
The situation
A reviewer is asked whether an AI workflow satisfies a governance requirement. They need more than a status label: they need to understand the policy outcome, the underlying evidence, and the relationships around it.
The question
What facts and policy outcomes support this decision, and can I trace them?
The governance workflow
From question to governed outcome
- 01
Choose the governed target
Start with the asset, workflow, evaluation, or other governed record under review.
- 02
Build decision-ready evidence
BHANUJ - AI Governance Platform reads the relevant ontology neighbourhood and assembled governance records as explicit evidence.
- 03
Evaluate the policy
Deterministic policy evaluation records which conditions matched, which facts were absent, and the resulting outcome.
- 04
Inspect the explanation
Review the decision status, confidence, policy outcomes, and explanation timeline in Studio.
- 05
Trace and retain the record
Use evidence graphs, decision lineage, request context, and audit records to support a defensible review.
In Studio
The screens behind the story
Start with the outcome, target, policy results, and explanation.
Evidence supports the decision; it is not merely a collection of related records.
Lineage describes the governed relationships around the decision.
The outcome
The reviewer can explain the decision in terms of durable evidence and policy rather than relying on a dashboard assertion.
OSS capabilities used