Impact scenarios
Describe credible harm or operational failure in the actual workflow context.
Scenario register with severity rationaleEnterprise AI · Governance and evaluation
Make every release answerable to a named risk, test, threshold, and owner.
Governance should help teams make and revisit release decisions. We connect workflow risks to controls, representative evaluations, documented exceptions, and operational evidence instead of treating review as a late compliance form.
- Risk unit
- A workflow outcome in a stated user and data context
- Decision
- Release, constrain, remediate, accept exception, or stop
- Record
- Tests, results, approvers, exceptions, and review date
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01 · Risk frame
The same component can carry different risk in a different workflow.
We identify affected people, decisions, data, actions, reversibility, material error modes, and oversight duties. This defines proportionate controls and evidence expectations.
Control mapping
Connect each material scenario to prevention, detection, response, and accountable ownership.
Risk-to-control matrixResidual decision
Record what remains after controls and who can accept or reject that exposure.
Time-bound exception or release decision03
02 · Measurement
Evaluation should reproduce the decisions users and operators actually face.
Case sets cover ordinary work, edge conditions, denied access, missing evidence, and failure behavior. Rubrics separate task quality, evidence support, control behavior, and user impact.
Specify
Define case population, rubric, thresholds, reviewers, and disagreement handling before results.
Evaluation protocolRun
Capture configuration, source version, output, intermediate evidence, score, and reviewer notes.
Reproducible result bundleDecide
Compare results with thresholds and document exceptions, mitigations, or stop conditions.
Signed readiness record04
03 · Control evidence
A useful answer does not compensate for a broken permission or approval boundary.
Control assurance covers identity propagation, source permissions, data handling, tool authority, approval enforcement, event completeness, safe fallback, and suspension.
Prevent
Verify prohibited data and actions remain inaccessible across representative identities and states.
Boundary test recordDetect
Verify material events and control failures produce timely, attributable signals.
Telemetry completeness reportRespond
Exercise investigation, containment, user communication, and restoration paths.
Scenario exercise findings05
04 · Decision record
Reviewers need the claim, evidence, exceptions, and owner in one place.
The release record links intended use, evaluation results, control evidence, known limits, change scope, approvers, and the next review trigger.
Illustrative governance record: risks, evidence, and release decisions are connected.
Traceable claims
Each readiness claim points to a current result or control artifact.
Visible exceptions
Accepted limitations include scope, mitigation, owner, and expiry.
Change trigger
Material changes identify which evidence must be rerun or reviewed.
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05 · Operating model
Governance becomes useful when it is part of delivery and service review.
Teams receive risk and evaluation templates, decision rights, evidence retention rules, review triggers, exception handling, and a cadence that aligns with product and operational change.
Decision rights
Workflow, security, data, engineering, and service owners know which decisions they hold.
Evidence lifecycle
Cases, results, and approvals are versioned and retained according to policy.
Review triggers
Material source, policy, workflow, integration, or component change reopens defined evidence.
The next step is a bounded working session: one workflow, its evidence sources, the decision owner, and the conditions under which the system must stop or hand over.
Design an evaluation plan