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 results guaranteed savings?

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.

CIO Value Guide | AI2COE Industrial IQ Documentation

ICP Value Matrix

CIO value guide.

CIO cares about ERP readiness, AI readiness, data governance, and no-write-back risk control. Industrial IQ shows evidence, score movement, report-ready assumptions, and actions that can be reviewed internally.

CIO valueValue lever

Uploaded dataCustomer-specific diagnostic required

ReadyMind AIRelated diagnostic engine

EstimateAssumption-labeled until reviewed

Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value

ICP Value Matrix

Role-specific value	Documentation
Pain	ERP readiness, AI readiness, data governance, and no-write-back risk control
Evidence Needed	source export, required fields, mapped columns, evidence rows, confidence tier, assumptions, limitations
Relevant Engine	ReadyMind AI, GovernanceMind AI, PartsCleanse AI
Report Output	CIO Readiness and Governance Report
ROI Lever	transformation risk, data readiness, governance confidence
Recommended Action	Run the relevant Industrial IQ diagnostic, review evidence, assign owners, and repeat monthly or quarterly.

Relevant engines

Diagnostics for this buyer.

Relevant engine

ReadyMind AI

ERP data quality, governance readiness, operational readiness, and first-use-case recommendation.

Open documentation

Relevant engine

GovernanceMind AI

Evidence traceability, confidence tiering, human review, auditability, and no-write-back governance.

Open documentation

Relevant engine

PartsCleanse AI

MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.

Open documentation

Force Team validation

CIO Value Guide 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 AI Readiness Intelligence View Required Data by Engine Review Trust Controls