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.

8Diagnostic engines
ReviewableFindings, confidence tiers, reports
0ERP write-back
Industrial IQ diagnostic dashboard showing AI readiness, risk, evidence confidence, and operational maturity indicators.
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.

Run This Engine
Review ownerThe operating, finance, procurement, maintenance, data, and governance leaders accountable for this diagnostic decision.
Input file contextTypical exported operational files, helpful optional fields, sample data, and mapped CSV or workbook evidence.
Diagnostic evidenceSource-backed findings, confidence tiers, score interpretation, report preview, review actions, and recurring-use path.
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.

Explore all engines
CFO decision frame Assumption-labeled frame

PartsCleanse AI

Oil & Gas upstream · SAP / Maximo pre-migration item master

Assumption duplicate-rate planning input
5 executive report artifacts

"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 AI
CFO inventory frame Sample diagnostic frame

InventoryMind AI

Utilities and critical infrastructure · Inventory balance, movement history, criticality, and min/max exports

30/90/180 movement aging bands
0 automatic stock policy changes

"InventoryMind separates dead, slow-moving, excess, and stockout-risk signals before policy changes are proposed."

CFO, inventory, and supply-chain leadership

Run InventoryMind AI
Procurement leakage frame Sample diagnostic frame

ProcureMind AI

Manufacturing · PO history, supplier master, price history, and item references

12 months PO history window
3 leakage signal classes

"ProcureMind links emergency buys, repeated purchases, supplier overlap, and price variance to source purchase evidence."

Procurement director and category leads

Run ProcureMind AI
Board finance frame Benchmark-labeled frame

FinanceMind AI

Oil & Gas and mining · Inventory value, duplicate-family evidence, carrying-cost rate, and recoverability assumptions

4 scenario views
100% assumptions labeled

"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 AI
COO asset coverage frame Sample diagnostic frame

AssetMind AI

Data centers · Asset register, criticality, material master, and equipment-class exports

3 link confidence tiers
Criticality weighted coverage

"AssetMind shows where critical assets have clear spare coverage, weak linkage, or no defensible part relationship."

COO, facilities, and asset integrity

Run AssetMind AI
Maintenance readiness frame Sample diagnostic frame

ReliabilityMind AI

Power generation · Work orders, shutdown flags, asset criticality, and stock-on-hand exports

Shutdown readiness flag
False stockout risk signal

"ReliabilityMind shows where planned work is exposed by spare availability, repeat demand, or weak item visibility."

Maintenance director and reliability manager

Run ReliabilityMind AI
CIO readiness frame Sample diagnostic frame

ReadyMind AI

Manufacturing and industrial portfolios · ERP export sample, ownership fields, data freshness, and first-use-case evidence

6 readiness gates
1 recommended first use case

"ReadyMind grounds AI readiness in actual operational data, not generic maturity survey answers."

CIO, CTO, and transformation office

Run ReadyMind AI
CISO review frame Sample diagnostic frame

GovernanceMind AI

Pharmaceuticals and regulated operations · Findings, confidence, reviewer, review status, source record, and audit event exports

3 confidence tiers
Human approval required

"GovernanceMind shows what is high-confidence, what needs review, and what should never be automated."

CISO, audit, quality, and governance

Run GovernanceMind AI

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.

View all engines
Engine catalogue overview

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.

EngineDiagnostic labelTypical exported dataOutput producedBest-fit buyer rolesProof 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
Engine cards

Each diagnostic has a distinct operating role.

Catalog Intelligence

PartsCleanse AI

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.

Diagnostic labelMRO Catalog Intelligence Diagnostic
ReadinessCommercial Pilot Ready
Typical exported dataDescription
Optional contextMaterial Id, Manufacturer, Mpn, Supplier
Output producedPartsCleanse AI Catalog Diagnostic Report
Best-fit buyer rolesCFO, CIO, Procurement, Maintenance, and Materials leaders
Inventory Risk Intelligence

InventoryMind AI

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
Procurement Leakage Intelligence

ProcureMind AI

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
Working Capital Intelligence

FinanceMind AI

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
Asset-to-Part Intelligence

AssetMind AI

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
Maintenance Readiness Intelligence

ReliabilityMind AI

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
AI Readiness Intelligence

ReadyMind AI

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
Evidence Governance Intelligence

GovernanceMind AI

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
Enterprise context

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

Relevant systems and source data

Connected decision paths

PartsCleanse AI · InventoryMind AI · ProcureMind AI · Industrial AI Readiness assessment hub · GovernanceMind AI

Branded visual operating model

Eight engines share one visual operating model.

Every engine starts from exported data and ends in reviewed evidence, reports, and action tracking.

View workflow
Branded industrial operations visual showing plant assets, stores, maintenance context, and Industrial IQ diagnostic overlay.
Industrial context Start from real operating context

MRO stores, assets, maintenance, procurement, and site context are shown as the operating layer behind every diagnostic.

Branded source export visual showing ERP, EAM, CMMS, inventory, procurement, asset, and work-order data flowing into Industrial IQ.
Source exports Use exported operational data

Industrial IQ starts with CSV or workbook exports, field mapping, and source-fit review before findings are treated as evidence.

Branded evidence review visual showing confidence tiers, source rows, matched records, reason codes, and reviewer status.
Evidence review Make the finding inspectable

Findings show source evidence, confidence, reason codes, assumptions, limitations, and human-review status.

Branded governed action tracker visual showing owners, status, due date, confidence, and no ERP write-back boundary.
Governed action Move only after owner review

Actions are accepted, rejected, deferred, or escalated by accountable owners. No ERP write-back happens automatically.