Use this page to choose the right Industrial IQ diagnostic by operating problem, available source exports, evidence output, buyer role, and review boundary. Each Industrial IQ engine converts exported operational data into reviewable findings, confidence tiers, report outputs, and next-step actions without ERP write-back.
Industrial IQ Engines: This engine path connects the operating problem, exported source data, diagnostic logic, evidence output, review boundary, and next action for Industrial IQ buyers. Compare all eight Industrial IQ engines for MRO catalog quality, inventory risk, procurement leakage, working capital, asset-to-part readiness, reliability, AI.
Run This EngineThis preview shows representative decision frames. The complete engine catalogue below keeps all eight products visible with their input data, outputs, buyer role, sample report, and trust path.
Oil & Gas upstream · SAP / Maximo pre-migration item master
"Use the diagnostic to replace catalog-risk assumptions with duplicate-family evidence, confidence tiers, and capital-exposure interpretation."
Finance, maintenance, procurement, and ERP owners
Run PartsCleanse AIUtilities and critical infrastructure · Inventory balance, movement history, criticality, and min/max exports
"InventoryMind separates dead, slow-moving, excess, and stockout-risk signals before policy changes are proposed."
CFO, inventory, and supply-chain leadership
Run InventoryMind AIManufacturing · PO history, supplier master, price history, and item references
"ProcureMind links emergency buys, repeated purchases, supplier overlap, and price variance to source purchase evidence."
Procurement director and category leads
Run ProcureMind AIOil & Gas and mining · Inventory value, duplicate-family evidence, carrying-cost rate, and recoverability assumptions
"FinanceMind turns operational findings into conservative, base, stretch, and uploaded-data views without implying fixed financial outcomes."
CFO, board sponsor, and finance team
Run FinanceMind AIUse planning frames for early qualification. Use uploaded-data results for customer-specific decisions.
Each engine has a distinct decision domain, but all use the same governed pattern: exported data, field mapping, source-backed evidence, confidence tiers, human review, reports, action tracking, and no ERP write-back.
CFO, CIO, Procurement, Maintenance, and Materials leaders
Inventory exposure InventoryMind AICFO, COO, Inventory, Materials, and Supply Chain leaders
Procurement leakage ProcureMind AICPO, Procurement Director, CFO, and Supply Chain leaders
Capital exposure FinanceMind AICFO, Finance Head, Procurement, and Board advisors
Asset-to-part linkage AssetMind AIAsset Integrity, Maintenance, Reliability, and Operations leaders
Maintenance readiness ReliabilityMind AIMaintenance Director, Reliability Manager, COO, and Plant leaders
AI readiness ReadyMind AICIO, CTO, COO, Data Governance, and AI Transformation leaders
Evidence governance GovernanceMind AICISO, CIO, Audit, Governance, and Transformation leaders
ReadyMind AI evaluates use-case and foundation readiness. GovernanceMind AI evaluates identity, authority, policy, evidence, and human-review controls. The six domain engines contribute the operating evidence required by the selected use case.
Open Readiness DiagnosticThese answer paths connect the eight Industrial IQ engines to source files, report outputs, proof paths, trust controls, and buyer evaluation questions.
Start with the engine that matches the available source export and the accountable decision: catalog identity, inventory trust, procurement leakage, finance exposure, asset linkage, reliability readiness, AI readiness, or governance control.
Prepare material masters, inventory balances, purchase orders, asset registers, BOMs, work orders, finance valuation context, readiness records, and governance review history. Each source object needs field meaning and owner context.
Material master quality affects catalog search, duplicate families, inventory trust, procurement visibility, maintenance planning, and ERP migration readiness. AI2COE keeps duplicate candidates, weak descriptions, UOM issues, and manufacturer ambiguity as reviewable signals until owners confirm action.
Compare the decision boundary: whether the option produces source-linked diagnostic evidence, confidence tiers, owner actions, and no-write-back governance, or whether it primarily manages systems, services, reports, or remediation programs.
Agency is justified only when the decision goal, source data, tool authority, system boundary, escalation path, evidence trail, and human approval rule are explicit. AI2COE treats Agentic AI as a governed readiness question, not a shortcut to autonomous operations.
Yes. Industrial IQ starts with exported CSV or workbook evidence from systems such as ERP, EAM, CMMS, inventory, procurement, asset, finance, and work-order sources. The diagnostic path is read-only and does not write back to source systems.
Every Industrial IQ engine follows the same governed flow: upload exported operational data, map fields, validate source fit, run the diagnostic, review evidence, score findings, generate a report, assign actions, and track recurring score history.
| Engine | Diagnostic label | Typical exported data | Output produced | Best-fit buyer roles | Proof path |
|---|---|---|---|---|---|
| PartsCleanse AI | MRO Catalog Intelligence Diagnostic | Description | PartsCleanse AI Catalog Diagnostic Report | CFO, CIO, Procurement, Maintenance, and Materials leaders | Product / Sample / Trust |
| InventoryMind AI | Inventory Risk and Exposure Diagnostic | Material Id, Quantity | InventoryMind AI Inventory Risk Report | CFO, COO, Inventory, Materials, and Supply Chain leaders | Product / Sample / Trust |
| ProcureMind AI | Procurement Leakage Diagnostic | Po Number, Description | ProcureMind AI Procurement Leakage Report | CPO, Procurement Director, CFO, and Supply Chain leaders | Product / Sample / Trust |
| FinanceMind AI | Working Capital Exposure Diagnostic | Material Id, Stock Value | FinanceMind AI Working Capital Report | CFO, Finance Head, Procurement, and Board advisors | Product / Sample / Trust |
| AssetMind AI | Asset-to-Part Linkage Diagnostic | Asset Id, Description | AssetMind AI Asset-to-Part Risk Report | Asset Integrity, Maintenance, Reliability, and Operations leaders | Product / Sample / Trust |
| ReliabilityMind AI | Maintenance and Reliability Readiness Diagnostic | Work Order, Description | ReliabilityMind AI Maintenance Readiness Report | Maintenance Director, Reliability Manager, COO, and Plant leaders | Product / Sample / Trust |
| ReadyMind AI | AI Readiness Diagnostic | Process Name, Data Source | ReadyMind AI AI Readiness Report | CIO, CTO, COO, Data Governance, and AI Transformation leaders | Product / Sample / Trust |
| GovernanceMind AI | Evidence Governance and Control Diagnostic | Finding Id, Finding Type | GovernanceMind AI Governance Review Report | CISO, CIO, Audit, Governance, and Transformation leaders | Product / Sample / Trust |
Identify duplicate spare-parts families, manufacturer ambiguity, part-number variation, UOM inconsistency, obsolete records, and MRO catalog-quality risk from exported item master and spare-parts data without writing back into ERP or EAM systems.
Identify excess stock, obsolete inventory, slow-moving items, duplicate inventory across sites, and critical-spares exposure from exported inventory, movement, valuation, and material master data without changing stock records or source systems.
Identify stocked-but-purchased events, emergency-buy patterns, supplier alias risk, repeat PO behavior, and price variance from exported purchase order, inventory, supplier, and material data without changing ERP or procurement systems.
Quantify reviewable working-capital exposure from duplicate inventory value, obsolete stock, slow-moving items, valuation gaps, and procurement-leakage signals using exported finance, inventory, and material data without treating exposure as realized value.
Identify missing, weak, or ambiguous asset-to-part relationships from exported asset registers, equipment hierarchies, material master data, spare-parts lists, and work-order references without changing EAM, CMMS, or ERP records.
Identify maintenance-readiness gaps, critical-spares uncertainty, planned-work support issues, shutdown-readiness risks, and reliability data gaps from exported work-order, asset, spares, and maintenance data without automating maintenance decisions.
Assess whether industrial data, ownership, governance, field completeness, process maturity, and first-use-case conditions are ready for safe AI initiatives before transformation investment.
Review evidence ownership, audit continuity, retained findings, confidence-tier review, action ownership, and source-file purge boundaries across Industrial IQ diagnostics without acting as a legal certification or autonomous approval system.
Every engine starts from exported data and ends in reviewed evidence, reports, and action tracking.
MRO stores, assets, maintenance, procurement, and site context are shown as the operating layer behind every diagnostic.
Industrial IQ starts with CSV or workbook exports, field mapping, and source-fit review before findings are treated as evidence.
Findings show source evidence, confidence, reason codes, assumptions, limitations, and human-review status.
Actions are accepted, rejected, deferred, or escalated by accountable owners. No ERP write-back happens automatically.
Industrial IQ pages are designed to move enterprise buyers from operating pain to source-backed diagnostic evidence, not to force an immediate platform commitment.
Finance, operations, procurement, maintenance, reliability, ERP/data, security, and executive sponsors.
Relevant ERP, EAM, CMMS, inventory, procurement, asset, work-order, or readiness exports where available.
A diagnostic route, sample proof format, report evidence, confidence tier, owner review path, or commercial next step.
Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.