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 →
FinanceMind AI

FinanceMind AI Working-Capital Evidence Pattern

Representative product case-study pattern showing how FinanceMind AI translates diagnostic findings into assumption-labeled capital exposure and executive review evidence.

Run Free Industrial IQ SnapshotAll Case Studies
RepresentativeAnonymized pattern
Diagnostic-firstEvidence before remediation
Source-file purgeAfter report generation
Evidence-led diagnostic report showing score history, maturity bands, confidence levels, and prioritized enterprise AI recommendations.
Sample reports show the structure of evidence rows, confidence tiers, assumptions, limitations, actions, and executive outputs.
Operating context

What the buyer is trying to decide.

A finance team needs a defensible way to interpret duplicate, obsolete, excess, and leakage findings without treating directional assumptions as committed savings, ROI, or audited financial results.

CFOFinanceCOOProcurementInventory ManagerBoard Sponsor
Control evidence
  • Representative FinanceMind AI product pattern
  • Assumption-bound exposure interpretation
  • No promised ROI or savings
  • Human finance review required
Visual evidence map

How exported operational data becomes buyer-ready evidence.

Use this map to understand the diagnostic flow before reading the detailed posture change. It shows source context, evidence conversion, owner review, and safe action boundaries.

Source evidence

Files and context the diagnostic would inspect.

Inventory value export
Diagnostic findings
Cost assumptions
Finance review context
Step 1 Source exports Read-only uploaded files
Step 2 Map and normalize Field fit, aliases, context
Step 3 Evidence table Reason codes and confidence
Step 4 Owner review Human decision before action
Evidence signal 1 Evidence output

Exposure ranges, carrying-cost assumptions, recoverable-value labels, and confidence-tiered sources are separated.

Evidence signal 2 Decision output

CFO review can distinguish observed data, derived signals, estimates, and hypotheses before action.

Evidence signal 3 Trust posture

FinanceMind AI supports planning and governance; it does not promise ROI, savings, or accounting outcomes.

Review roles

Who reviews the evidence.

CFOFinanceCOOProcurementInventory Manager
Stage: No ERP write-back
Stage: Source files purged after report generation
Stage: Confidence-tiered evidence
Stage: Human review before action
Before / after diagnostic posture

The change AI2COE is meant to create inside the buying committee.

Before diagnostic
Finance viewInventory value, carrying-cost assumptions, and exposure discussions are not tied to source-backed diagnostic evidence.
Executive riskSavings language can become overconfident before operations validates what is recoverable.
Review gapFinance, procurement, and maintenance do not share one assumption register.
After diagnostic
Evidence outputExposure ranges, carrying-cost assumptions, recoverable-value labels, and confidence-tiered sources are separated.
Decision outputCFO review can distinguish observed data, derived signals, estimates, and hypotheses before action.
Trust postureFinanceMind AI supports planning and governance; it does not promise ROI, savings, or accounting outcomes.
Enterprise trust posture

Proof controls buyers expect before they upload operational data.

Source purge Uploaded source files are purged after report generation; summary metrics and Open Findings remain.
No ERP write-back The diagnostic creates evidence for review. It never changes, deletes, merges, or overwrites ERP records.
Local currency Reports display money in the user's selected or country-derived currency, while USD remains the base audit calculation.
Audit trail Report ownership, access, quota, and feedback events are retained for governed review.
Session downloads Excel, Word, PDF, and CSV downloads are available only in the active generation session.
Open Findings Browser findings remain available without retaining the original source catalog rows.
Buyer interpretation

This is the level of evidence a first paid pilot should produce.

The purpose of an Industrial IQ pilot is not to claim instant remediation. It is to create a defensible management fact base: source-backed findings, confidence distribution, exposure assumptions, readiness issues, and a review sequence that executives can govern.

Executive review lens

Use this page to decide the next evidence step.

Industrial IQ pages are designed to move enterprise buyers from operating pain to source-backed diagnostic evidence, not to force an immediate platform commitment.

Audience

Finance, operations, procurement, maintenance, reliability, ERP/data, security, and executive sponsors.

Evidence to prepare

Relevant ERP, EAM, CMMS, inventory, procurement, asset, work-order, or readiness exports where available.

Output

A diagnostic route, sample proof format, report evidence, confidence tier, owner review path, or commercial next step.

Trust boundary

Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.

Explore the 8 diagnostic enginesView sample reportsReview no ERP write-backRun a Snapshot