How this diagnostic works for a decision owner.
| Readiness label | Requires scoped enterprise review |
|---|---|
| Business problem | Evidence traceability, review-level assignment, owner approval, auditability, and no-write-back governance. |
| Buyer role | CISO, CIO, Audit, Governance, and Transformation leaders |
| Trigger event | Audit trail requirement, confidence-tier review, human approval control, responsible AI governance, or no-write-back assurance. |
| Core source export | Finding Id, Finding Type |
| Optional fields | Confidence, Business Impact, Review Status, Reviewer, Source Record, Action Owner, Decision Reason, Action Due Date, Created At, Site |
| Upload workflow | Upload -> Validate -> Analyze -> Evidence -> Score -> Report -> Action -> Repeat |
| Column mapping | Industrial IQ profiles source-fit, suggests field matches, asks the user to normalize unmapped required fields, then recalculates mapping readiness before the engine runs. |
| Evidence generated | Source-backed evidence rows, reason codes, confidence tiers, review status, assumptions, limitations, and action-owner context. |
| Score output | Governance readiness score |
| Report output | GovernanceMind AI Governance Review Report |
| Confidence tiers | High-confidence findings can move to review; weak or unsafe matches stay in human-review queues. |
| Recurring use case | Monthly or quarterly re-uploads create score history, action progress, planning comparison, and renewal value reporting. |
Minimum viable fields and engine-specific context.
| Engine | Required Data File | Required Fields | Optional Fields | Output Generated | Minimum Viable Upload | Engine-Specific Context |
|---|---|---|---|---|---|---|
| GovernanceMind AI | Findings export | Finding Id, Finding Type | Confidence, Business Impact, Review Status, Reviewer, Source Record, Action Owner, Decision Reason, Action Due Date | Governance readiness score, evidence, report, actions, score history | Finding Id, Finding Type | Confidence, Business Impact, Review Status, Reviewer, Source Record, Action Owner, Decision Reason, Action Due Date |
What this engine analyzes.
- Evidence traceability, confidence tiers, human review, audit log, action owner, no ERP write-back, and responsible AI controls.
- Accept/reject/needs-more-data review semantics with confidence and source-record evidence.
- Model/diagnostic card for every engine: inputs, logic, assumptions, limitations, and human-review requirement.
How the engine matures after the first run.
- Reviewer assignment, stale review escalation, false-positive control, confidence movement, and governance export.
- Cross-engine governance dashboard connecting finding, evidence, reviewer, action, export, and audit event.
- Customer-facing audit pack with source evidence and limitation language.
- Governance learning loop showing accepted/rejected patterns and confidence calibration over time.
- Responsible AI report for board, CIO, audit, security, and data governance teams.
- Recurring audit readiness score and SOC-style evidence export.
How to read the output.
GovernanceMind AI Governance Review Report includes Governance readiness score, evidence records, confidence tiers, assumptions, limitations, action tracker items, score history, and no-write-back governance language.
How this connects to AI2COE Industrial IQ
Evidence Governance Intelligence is not treated as an isolated content topic. Industrial IQ connects it to uploaded data, engine evidence, confidence tiers, executive reports, actions, score history, and governance review.