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 →
ROI and value realization guide

Working Capital Exposure

Working Capital Exposure documentation for data required, formula summary, assumptions, limitations, review role, report output, action, and related Industrial IQ diagnostic.

8Engines
18Industry guides
0ERP write-back
AI adoption maturity roadmap showing discovery, diagnostics, governance, pilot prioritization, and enterprise scaling stages.
Documentation explains how exported data becomes evidence, reports, actions, and recurring score history.
CFO readiness guide

Working capital exposure is a finance-readable diagnostic, not a savings commitment.

Measures inventory value, duplicate families, dead stock, emergency premiums, and recoverable exposure as an estimate until uploaded data confirms it.

Customer-specific diagnostic required: benchmark and estimate values remain planning context until Industrial IQ analyzes uploaded data, labels confidence, and records human-review status.

Working Capital Exposure BreakdownValue lever
Uploaded dataCustomer-specific diagnostic required
FinanceMind AIRelated diagnostic engine
EstimateAssumption-labeled until reviewed
Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value
Working Capital Exposure Breakdown

What finance, operations, procurement, and governance owners should verify.

What is working capital exposure?The value tied in duplicate, dead, slow-moving, excess, or weakly governed inventory that may be reviewable after source-backed diagnostics.
Why it matters to CFOs and boardsIt converts operational data quality into capital stewardship, carrying-cost discipline, procurement-premium visibility, and board-readable assumptions.
Input filesInventory value, item master, stock on hand, movement history, unit cost, purchase history, supplier context, duplicate-family evidence, and carrying-cost assumptions.
How Industrial IQ estimates exposureFinanceMind AI combines mapped source fields, PartsCleanse duplicate-family evidence, InventoryMind stock movement and excess signals, and ProcureMind emergency-buy or leakage signals.
Formula / model summaryEstimated exposure = mapped inventory value affected by duplicate, dead, slow-moving, excess, or procurement-leakage signals. Annual impact layers carrying-cost rate, emergency premium, recoverability, confidence, and human-review status.
AssumptionsCarrying-cost rate, recoverability rate, emergency-premium rate, duplicate-family confidence, and review acceptance remain assumptions until uploaded data and owner review confirm them.
LimitationsThe page does not promise cash release, EBITDA impact, remediation success, write-off avoidance, procurement reduction, or realized savings.
What uploaded data replacesGeneric benchmark assumptions are replaced by source records, mapped fields, duplicate-family evidence, stock movement, purchase history, confidence tiers, and review status.
Example interpretationA CFO should read the result as a prioritized exposure register: which findings are evidence-backed, which are estimates, and which require operational owner review before action.
Report outputCFO Working Capital Report, FinanceMind AI score, assumptions registry, value waterfall, evidence table, action tracker, and renewal value view.
Recommended actionRun FinanceMind AI or Industrial IQ Snapshot, then route high-value findings to finance, inventory, procurement, and governance owners for review.
Required data

Fields that improve value confidence.

EngineRequired Data FileRequired FieldsOptional FieldsOutput GeneratedMinimum Viable UploadEngine-Specific Context
FinanceMind AI Inventory value file Material Id, Stock Value Description, Quantity, Unit Cost, Duplicate Family, Carrying Cost Rate, Emergency Premium, Site, Currency Working capital score, evidence, report, actions, score history Material Id, Stock Value Description, Quantity, Unit Cost, Duplicate Family, Carrying Cost Rate, Emergency Premium, Site, Currency
PartsCleanse AI Material or item master CSV Description Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity, Unit Cost, Site Catalog health score, evidence, report, actions, score history Description Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity, Unit Cost, Site
InventoryMind AI Inventory balance CSV Material Id, Quantity Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand, Criticality, Min Stock Inventory health score, evidence, report, actions, score history Material Id, Quantity Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand, Criticality, Min Stock
ProcureMind AI Purchase order CSV Po Number, Description Material Id, Supplier, Unit Price, Quantity, Order Date, Order Type, Emergency Flag, Stock On Hand Procurement leakage score, evidence, report, actions, score history Po Number, Description Material Id, Supplier, Unit Price, Quantity, Order Date, Order Type, Emergency Flag, Stock On Hand
Related engines

FinanceMind AI leads the CFO view, but the strongest exposure case is cross-engine.

Related engine

FinanceMind AI

Duplicate capital exposure, carrying cost, emergency premium, and recoverable value scenarios.

Open documentation
Related engine

PartsCleanse AI

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

Open documentation
Related engine

InventoryMind AI

Dead stock, slow-moving stock, excess, stockout risk, and duplicated stock exposure.

Open documentation
Related engine

ProcureMind AI

Emergency procurement, stocked-but-purchased events, repeated buys, supplier alias risk, and price variance.

Open documentation
Evidence to Report Flow

From source record to CFO report.

Industrial IQ links operational records to evidence, score components, confidence tiers, assumptions, limitations, report output, owner review, action tracker, and renewal value reporting.

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
Documentation context

Use the docs to move from source export to reviewed diagnostic evidence.

Each guide keeps Industrial IQ documentation tied to source preparation, validation, evidence review, and Trust controls.

Docs home
AI2COE Copilot