What data does Industrial IQ need?

Industrial IQ works from CSV exports. Required fields vary by engine, and the docs list minimum viable uploads plus best uploads.

Are ROI results final financial outcomes?

No. ROI pages label benchmark, estimate, assumption, limitation, and customer-specific diagnostic requirements.

Does Industrial IQ write back to ERP?

No. Industrial IQ creates evidence-backed diagnostics, reports, actions, and governance review without ERP write-back.

GovernanceMind AI Documentation | Evidence Review Data

Engine-to-Value Map

GovernanceMind AI turns source data into reportable value.

InputFinding Id, Finding Type + Confidence, Business Impact, Review Status, Reviewer, Source Record

DiagnosticEvidence traceability, confidence tiers, human review, audit log, action owner, no ERP write-back, and responsible AI controls.

OutputGovernance readiness score, evidence table, confidence tiers, report, actions, and score history.

ValueReviewer assignment, stale review escalation, false-positive control, confidence movement, and governance export. Governance learning loop showing accepted/rejected patterns and confidence calibration over time.

Engine operating brief

How this diagnostic works for an ICP.

Readiness label	Enterprise Pilot Available
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, benchmark comparison, and renewal value reporting.

Required fields

Minimum viable upload and best upload.

Engine	Required Data File	Required Fields	Optional Fields	Output Generated	Minimum Viable Upload	Best Upload
GovernanceMind AI	Findings export	Finding Id, Finding Type	Confidence, Business Impact, Review Status, Reviewer, Source Record, Action Owner	Governance readiness score, evidence, report, actions, score history	Finding Id, Finding Type	Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.

Diagnostic logic

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.

Recurring value

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.

Report interpretation

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.

Evidence Governance IntelligenceValue lever

Uploaded dataCustomer-specific diagnostic required

GovernanceMind AIRelated diagnostic engine

EstimateAssumption-labeled until reviewed

Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value

Industrial IQ platform bridge

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.

Run Free Industrial IQ Snapshot Explore 8 Diagnostic Engines

PartsCleanse AIcreates catalog evidence and duplicate-family findings.

InventoryMind AIextends catalog signals into inventory risk, dead stock, excess stock, and stockout exposure.

ProcureMind AIconnects supplier and purchase signals to emergency buying, repeat purchases, and leakage.

FinanceMind AItranslates operating findings into working-capital exposure, carrying cost, and ROI scenarios.

AssetMind AIconnects parts to asset relevance, equipment coverage, and plant-register context.

ReliabilityMind AIconnects spare availability to maintenance readiness, false-stockout risk, and shutdown planning.

ReadyMind AIevaluates ERP, data, governance, and AI readiness gaps before transformation spend.

GovernanceMind AImanages confidence, evidence traceability, human review, and auditability.

Buyer Enablement Validation

GovernanceMind AI Documentation buyer enablement checklist.

Problem solved	Turns an operational data question into source-backed diagnostic evidence.
Who cares	CFO, COO, CIO, procurement, maintenance, reliability, ERP, governance, and board stakeholders where relevant.
Data needed	CSV exports with stable IDs, descriptions, quantities, values, dates, site, asset, supplier, and owner context where available.
Output delivered	Scores, evidence table, confidence tiers, executive report, action tracker items, score history, and governance status.
Value quantified	Working capital, carrying cost, emergency premium, dead stock, stockout risk, readiness gaps, or governance risk depending on diagnostic intent.
Decision supported	Whether to act, review, normalize data, escalate findings, fund remediation, or repeat the diagnostic cadence.
Report shared internally	Executive, CFO, procurement, inventory, readiness, governance, or renewal value report.
Recurring value	Baseline score -> re-upload -> score movement -> action closure -> benchmark comparison -> renewal value report.
Assumptions and limitations	Benchmarks and estimates remain planning context until customer-specific uploaded data is analyzed and reviewed.
Trust controls	No ERP write-back, evidence traceability, confidence tiers, human review, false-positive control, audit trail, and data-retention boundaries.

Run Evidence Governance Intelligence View Required Data by Engine Review Trust Controls

Evaluation resource map

Turn documentation into a guided evaluation path.

Resources and docs should help reviewers move from methodology to templates, proof format, trust review, and pilot decision without hunting through long text blocks.

Download Data Templates

Methodology

Research and framework pages define terms, readiness pillars, and evidence boundaries.

Required fields

Data templates clarify the source files and fields each diagnostic engine can evaluate.

Sample outputs

Sample reports show how evidence, scores, confidence tiers, and open findings are presented.

Review controls

Trust pages explain no ERP write-back, source-file handling, human review, and procurement review language.

Industrial IQ documentation