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Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required —
Review data requirements →
Industrial IQ engine catalogue
All 8 diagnostic engines in one governed catalogue.
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.
Each engine owns a decision domain while preserving the same evidence, review, report, and score-history pattern.
Evidence summary
Diagnostic evidence path
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.
Recommended actionInspect the sample report, then run the matching engine with bounded exported operational data.
8-engine outcome evidence
Every Industrial IQ product gets a buyer-readable proof frame.
Competitors often show one proof metric. Industrial IQ shows the full decision chain: input data, diagnostic signal, evidence output, review role, governance status, and next action for each engine.
Use benchmark frames for early qualification. Use uploaded-data results for customer-specific decisions.
Visual engine system
Industrial IQ diagnostic app catalogue is one platform with eight diagnostic AI engines.
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.
One platform pattern across catalog, inventory, procurement, finance, asset, reliability, readiness, and governance.
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.
UploadCSV export or sample dataset
Source FitRequired fields and data quality
AI MatchColumn aliases and confidence
NormalizeCanonical field preparation
DiagnoseEngine logic and evidence
ReportScore, actions, assumptions
RepeatScore history and renewal value
Engine recommendation matrix
Choose by operating problem, source exports, buyer role, and report output.
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
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.
Diagnostic labelInventory Risk and Exposure Diagnostic
ReadinessCommercial Pilot Ready
Typical exported dataMaterial Id, Quantity
Optional contextDescription, Unit Cost, Stock Value, Last Movement Date
Output producedInventoryMind AI Inventory Risk Report
Best-fit buyer rolesCFO, COO, Inventory, Materials, and Supply Chain leaders
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.
Diagnostic labelProcurement Leakage Diagnostic
ReadinessEnterprise Pilot Available
Typical exported dataPo Number, Description
Optional contextMaterial Id, Supplier, Unit Price, Quantity
Output producedProcureMind AI Procurement Leakage Report
Best-fit buyer rolesCPO, Procurement Director, CFO, and Supply Chain leaders
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.
Diagnostic labelWorking Capital Exposure Diagnostic
ReadinessEnterprise Pilot Available
Typical exported dataMaterial Id, Stock Value
Optional contextDescription, Quantity, Unit Cost, Duplicate Family
Output producedFinanceMind AI Working Capital Report
Best-fit buyer rolesCFO, Finance Head, Procurement, and Board advisors
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.
Diagnostic labelAsset-to-Part Linkage Diagnostic
ReadinessSample Diagnostic Available
Typical exported dataAsset Id, Description
Optional contextMaterial Id, Asset Status, Criticality, Equipment Class
Output producedAssetMind AI Asset-to-Part Risk Report
Best-fit buyer rolesAsset Integrity, Maintenance, Reliability, and Operations leaders
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.
Diagnostic labelMaintenance and Reliability Readiness Diagnostic
ReadinessSample Diagnostic Available
Typical exported dataWork Order, Description
Optional contextMaterial Id, Asset Id, Quantity, Stock On Hand
Output producedReliabilityMind AI Maintenance Readiness Report
Best-fit buyer rolesMaintenance Director, Reliability Manager, COO, and Plant leaders
Assess whether industrial data, ownership, governance, field completeness, process maturity, and first-use-case conditions are ready for safe AI initiatives before transformation investment.
Diagnostic labelAI Readiness Diagnostic
ReadinessSample Diagnostic Available
Typical exported dataProcess Name, Data Source
Optional contextBusiness Unit, Data Owner, Data Quality Score, System Of Record
Output producedReadyMind AI AI Readiness Report
Best-fit buyer rolesCIO, CTO, COO, Data Governance, and AI Transformation leaders
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.
Diagnostic labelEvidence Governance and Control Diagnostic
ReadinessEnterprise Pilot Available
Typical exported dataFinding Id, Finding Type
Optional contextConfidence, Business Impact, Review Status, Reviewer
Output producedGovernanceMind AI Governance Review Report
Best-fit buyer rolesCISO, CIO, Audit, Governance, and Transformation leaders
How Industrial IQ diagnostic engines map to enterprise decisions
Each Industrial IQ engine owns one decision domain: catalog quality, inventory risk, procurement leakage, working capital, asset-to-part linkage, reliability readiness, AI readiness, or governance evidence. ReadyMind AI is the engine for readiness diagnostics, GovernanceMind AI is the engine for governance-readiness controls, and the Industrial AI Readiness assessment hub explains the broader category model. The shared method is exported data, field mapping, confidence-tiered findings, executive reports, and human-reviewed action tracking.
Business outcome
Buyers can choose the first diagnostic by operating symptom and executive owner.
Financial impact
Engine outputs translate technical data quality into finance, procurement, operations, and governance decisions.
Operational impact
Related problems can be sequenced rather than buried in a broad transformation program.
Risk control
Every engine preserves read-only diagnostics and buyer-controlled remediation.
Related operating terms
inventory intelligenceprocurement intelligenceasset intelligenceAI readinessdata readinessworking capital intelligence
Relevant systems and source data
ERP exportsEAM exportsCMMS exportsprocurement exportsinventory filesasset registerswork-order history