Industrial IQ Sample Reports | MRO Diagnostic Examples

Sample-data boundary

These are deterministic AI2COE sample reports created for demonstration.

They are not customer-specific findings, customer performance claims, customer logos, or measured savings evidence. Uploaded customer data is required before Industrial IQ can produce customer-specific evidence, confidence tiers, scores, reports, and review actions.

Data handling: private source files are not required to view sample reports. In live diagnostics, uploaded source files are used to generate report packs and then purged. Review Data Retention.

How to use this gallery

Review the proof format first, then choose the diagnostic path.

Each engine card gives one primary sample-report action and compact access to supporting assets. Executive buyers should start with the HTML sample report, data owners can inspect CSV and mapping files, and procurement or governance teams can use the PDF when they need an offline review artifact.

ReportHTML and PDF examples show score, evidence, assumptions, limitations, actions, and no-write-back boundaries.

DataCSV, mapping, and dictionary files show what the engine expects before private upload.

DecisionRun Free Industrial IQ Snapshot when the buyer is ready to route the operating problem to the right engine.

Buyer committee selector

Choose the sample report by the decision the buyer needs to make.

Use this matrix when a committee does not know which Industrial IQ sample to review first. It keeps the report path tied to the buyer's decision, not to product naming alone.

Buyer role	What to inspect first	Recommended sample
CFO / Finance	Working capital, exposure bands, assumption boundaries, and value-review evidence	FinanceMind AI
COO / Operations	Operating risk, action queues, readiness score movement, and owner follow-up	InventoryMind AI
CPO / Procurement	Supplier overlap, emergency buys, stocked-but-purchased signals, and leakage review	ProcureMind AI
Maintenance / MRO	Duplicate parts, false-stockout risk, critical spare review, and work-order context	PartsCleanse AI
Reliability / Plant	Maintenance delay signals, critical asset context, and reliability-readiness evidence	ReliabilityMind AI
ERP / Asset Data	Asset-to-part coverage, BOM gaps, EAM readiness, and source-fit requirements	AssetMind AI
CIO / AI Program	Industrial AI Readiness, first-use-case fit, source quality, and governance blockers	ReadyMind AI
CISO / Governance	Evidence classification, owner review, audit metadata, and action-control boundaries	GovernanceMind AI

Evaluation checklist

What a strong Industrial IQ sample report should prove.

The sample-report path is designed for buyer review before private data is shared. The report should make evidence, assumptions, limitations, score meaning, and owner action visible without overstating outcomes.

Sample boundary Confirm the report is demonstration data only and does not imply approved customer evidence, benchmark results, or fixed financial outcomes.

Source-fit view Inspect required fields, optional context, mapping readiness, source limitations, and any assumptions before judging output quality.

Evidence rows Review whether findings show source context, reason codes, confidence labels, and limitations rather than unsupported conclusions.

Buyer interpretation Check that the report explains what finance, operations, procurement, IT/data, and governance owners should review next.

Action control Confirm actions remain owner-reviewed decisions and do not imply ERP write-back, automatic deletion, or uncontrolled remediation.

Next diagnostic Use the sample to decide whether to run a Snapshot, prepare private exports, or request a scoped diagnostic review.

How to read a sample report

Sample reports show proof format, not approved customer evidence.

Use this visual map to inspect findings, confidence, evidence, assumptions, limitations, and owner actions before sharing private operational data.

Open sample datasets

Finding What condition the diagnostic surfaced.

Confidence tier How strongly source data supports the finding.

Exposure band Planning-level financial or operational interpretation where applicable.

Evidence source Which exported fields or records support review.

Owner action What a buyer should review, assign, accept, defer, or reject.

Product proof workflow

Show the buyer the workflow before asking for data.

These illustrative UI previews make Industrial IQ tangible: upload, mapping, evidence, score, report, and governed actions are visible before a private file is uploaded.

Open walkthrough

Industrial IQ illustrative upload workflow preview

Upload operational data

CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.

Map fields

AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.

Evidence table

Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.

Diagnostic score

Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.

Visual engine system

Industrial IQ sample report gallery 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

Catalog evidence PartsCleanse AI

CFO, CIO, Procurement, Maintenance, and Materials leaders

Inventory exposure InventoryMind AI

CFO, COO, Inventory, Materials, and Supply Chain leaders

Procurement leakage ProcureMind AI

CPO, Procurement Director, CFO, and Supply Chain leaders

Capital exposure FinanceMind AI

CFO, Finance Head, Procurement, and Board advisors

Asset-to-part linkage AssetMind AI

Asset Integrity, Maintenance, Reliability, and Operations leaders

Maintenance readiness ReliabilityMind AI

Maintenance Director, Reliability Manager, COO, and Plant leaders

AI readiness ReadyMind AI

CIO, CTO, COO, Data Governance, and AI Transformation leaders

Evidence governance GovernanceMind AI

CISO, CIO, Audit, Governance, and Transformation leaders

Product experience

Inspect the upload, mapping, evidence, score, report, and action workflow before private data is uploaded.

These are illustrative Industrial IQ UI previews using sample/demo labels. They show the enterprise workflow buyers should expect: read-only upload, mapped fields, confidence-tiered evidence, executive reporting, and governed action tracking.

Industrial IQ in 2 Minutes

Illustrative product UI preview

Upload operational data

CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.

Illustrative product UI preview

Map fields

AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.

Illustrative product UI preview

Evidence table

Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.

Illustrative product UI preview

Diagnostic score

Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.

Preview boundary: visuals use sample/demo content and do not represent customer data, approved customer outcomes, or financial commitments.

Sample report FAQ

Questions buyers should answer before private upload.

Sample report FAQ 01

Do sample reports use private customer data?

No. The public sample reports use deterministic AI2COE demonstration data only. They are not customer-specific findings, approved customer evidence, or savings claims.

Sample report FAQ 02

What should buyers inspect in a sample report?

Buyers should inspect the report structure, evidence table, confidence tiers, assumptions, limitations, action queue, and no-write-back governance language before uploading private operational data.

Sample report FAQ 03

What happens in a live diagnostic?

In a live diagnostic, uploaded source files are processed to generate the diagnostic report pack and then purged. Summary metrics and audit metadata may be retained for governance.

Sample report FAQ 04

Which sample report should a buyer open first?

Start with the engine tied to the active decision: PartsCleanse AI for MRO catalog quality, InventoryMind AI for inventory risk, ProcureMind AI for procurement leakage, FinanceMind AI for working-capital exposure, or ReadyMind AI and GovernanceMind AI for readiness and controls.

Sample report FAQ 05

Can buyers download the supporting sample files?

Yes. Each engine has a sample CSV, mapping template, and data dictionary so data owners can inspect required fields before a private upload.

Sample report FAQ 06

How should a buyer committee review these samples?

Finance should inspect assumptions and score outputs, operations should inspect evidence and action queues, IT/data owners should inspect field mapping, and security reviewers should confirm the no-write-back and source-file handling boundaries.

Catalog Intelligence

PartsCleanse AI

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

Business questionWhich duplicate, obsolete, incomplete, or ambiguous MRO catalog records should be reviewed first?

Input filesMaterial master or item master export, manufacturer, MPN, UOM, plant/site, stock context.

EvidenceDuplicate-family evidence, weak descriptions, UOM conflicts, manufacturer ambiguity, and cleanup queue.

Target buyerCFO, CIO, Procurement, Maintenance, and Materials leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputPartsCleanse AI Catalog Diagnostic Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Inventory Risk Intelligence

InventoryMind AI

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

Business questionWhich inventory records show dead, slow, excess, false-stockout, or critical-spare review signals?

Input filesInventory balance, movement history, stock value, safety stock, reorder points, lead time, criticality.

EvidenceInventory-risk segments, movement evidence, stockout signals, and review priorities.

Target buyerCFO, COO, Inventory, Materials, and Supply Chain leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputInventoryMind AI Inventory Risk Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Procurement Leakage Intelligence

ProcureMind AI

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

Business questionWhere does MRO procurement leakage or emergency buying appear in exported purchasing data?

Input filesPO history, supplier master, contracts, item references, price, quantity, lead time, emergency-buy flags.

EvidenceSupplier overlap, stocked-but-purchased candidates, emergency-buy signals, and leakage review queue.

Target buyerCPO, Procurement Director, CFO, and Supply Chain leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputProcureMind AI Procurement Leakage Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Working Capital Intelligence

FinanceMind AI

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

Business questionWhich inventory and catalog findings are material enough for finance review?

Input filesStock quantity, unit cost, stock value, aging, carrying-cost assumptions, excess or obsolete flags.

EvidenceCapital exposure bands, assumption labels, finance interpretation, and reviewable action path.

Target buyerCFO, Finance Head, Procurement, and Board advisors

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputFinanceMind AI Working Capital Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Asset-to-Part Intelligence

AssetMind AI

Asset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.

Business questionCan material records be linked to assets, BOMs, and equipment context?

Input filesAsset register, equipment hierarchy, BOM, item master, critical-spare flag, install base.

EvidenceAsset-to-part coverage, BOM gaps, critical-spare linkage, and owner review actions.

Target buyerAsset Integrity, Maintenance, Reliability, and Operations leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputAssetMind AI Asset-to-Part Risk Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Maintenance Readiness Intelligence

ReliabilityMind AI

Work-order spare availability, false stockout risk, repeat demand, and shutdown readiness.

Business questionWhich maintenance records show readiness, delay, or reliability-risk signals?

Input filesWork orders, asset IDs, failure codes, downtime, parts used, MTBF, MTTR, maintenance priority.

EvidenceMaintenance-readiness score, work-order delay signals, false-stockout candidates, and reliability actions.

Target buyerMaintenance Director, Reliability Manager, COO, and Plant leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputReliabilityMind AI Maintenance Readiness Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

AI Readiness Intelligence

ReadyMind AI

ERP data quality, governance readiness, operational readiness, and first-use-case recommendation.

Business questionIs the operational data ready for the first governed industrial AI use case?

Input filesData source, data owner, system of record, quality score, process name, use case, risk level.

EvidenceAI readiness score, source-fit findings, blocked-use-case reasons, and recommended first diagnostic.

Target buyerCIO, CTO, COO, Data Governance, and AI Transformation leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputReadyMind AI AI Readiness Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Evidence Governance Intelligence

GovernanceMind AI

Evidence traceability, review-level assignment, owner approval, auditability, and no-write-back governance.

Business questionCan findings be governed with evidence, owners, confidence tiers, and review decisions?

Input filesFinding ID, evidence source, confidence score, business impact, assigned owner, review status.

EvidenceOpen Findings, audit metadata, owner decisions, action tracker items, and governance status.

Target buyerCISO, CIO, Audit, Governance, and Transformation leaders

ConfidenceConfidence tiers separate high-confidence findings from review-required candidates before action.

Action outputGovernanceMind AI Governance Review Report with score, evidence, confidence tiers, assumptions, limitations, actions, and no-write-back governance.

Sample data disclaimer: deterministic AI2COE demonstration data only. Not customer-specific findings or performance claims.

Open sample report PDF Request diagnostic CSV Mapping Dictionary

Buyer journey

Choose the next action by buyer readiness.

Choose the next action based on where the buying committee is now: proof review, data readiness, pilot scoping, or security validation.

Open evaluation guide

Stage: Need proof first View sample diagnostic reports

Inspect evidence rows, confidence tiers, limitations, scores, and owner actions before sharing private data.

View Sample Reports Stage: Have an export ready Run an Industrial IQ Snapshot

Start with exported operational data or sample data and route the issue to the right diagnostic engine.

Run Snapshot Stage: Need committee alignment Download the buyer evaluation guide

Use the finance, operations, technology, procurement, maintenance, and security checklist for internal review.

Download Buyer Guide Stage: Active initiative Request a founder-led pilot

Use this path when ERP migration, inventory action, procurement leakage, or AI readiness needs a scoped diagnostic.

Request Pilot Stage: Security review Review the security brief

Validate no ERP write-back, source-file purge, human review, access controls, DPA/SLA path, and retention boundaries.

Review Security Brief

Trust boundary: No ERP write-back. Source files purged after report generation. Human review before action. Sample reports use demonstration data until replaced by uploaded-data diagnostics.

Decision framework

What this page helps leaders decide.

Definition

The Industrial IQ sample report gallery shows how each diagnostic engine structures evidence, scores, assumptions, limitations, owner actions, and executive outputs.

Commercial relevance

Sample reports let buyers inspect board-readability, CFO interpretation, governance language, and evidence structure before sharing private operational data.

Operational symptoms

Buyers hesitate when they cannot see what a diagnostic output looks like, which assumptions are visible, or how findings are governed after export.

Required input files

Demonstration datasets, sample engine outputs, report templates, action examples, and confidence-tier explanations.

Diagnostic method

Each sample uses deterministic demonstration data to show the report pattern without claiming customer-specific findings.

Evidence model

Evidence rows, score summaries, confidence labels, limitations, assumptions, action owners, and report export previews.

Buyer-role interpretation

CFOs inspect value framing, CIOs inspect data boundaries, CISO teams inspect governance language, and operators inspect whether findings are reviewable.

Traditional approach vs Industrial IQ

A generic demo shows screens. Industrial IQ sample reports show how evidence is packaged for decision review.

Trust boundary

Sample outputs use demonstration data unless explicitly labeled otherwise and should not be treated as customer performance claims.

Recommended next step

Run an Industrial IQ Snapshot when the buyer needs routing clarity, view sample reports when the buyer needs proof format, request a diagnostic discussion when scope and data availability are known, or explore pricing when the buying path is ready for commercial review.

Related Industrial IQ pages

Industrial IQ platform · Industrial IQ Snapshot · Sample reports · Documentation · Trust Center

Run Free Industrial IQ Snapshot Sample reports · Diagnostic discussion · Pricing

Proof and report support

Sample reports show the proof structure before private upload.

Sample reports show the evidence format behind MRO data cleansing, procurement leakage, inventory optimization, and engine-level diagnostics without implying approved customer evidence.

Diagnostic role

Each sample report maps to an Industrial IQ engine and shows how findings, scores, evidence, confidence tiers, and actions appear.

Source exports

Sample data and public report previews are illustrative. Buyer diagnostics require buyer-provided exports.

Evidence output

Evidence records, confidence tiers, diagnostic scores, report sections, action tracker items, and owner-review fields.

Trust boundary

Sample reports are proof of report structure, not proof of named customer outcomes or assured financial results.

Primary support links

PartsCleanse AI ProcureMind AI InventoryMind AI MRO data cleansing diagnostics procurement leakage analysis spare parts inventory optimization no ERP write-back pricing contact

Buyer questions answered here

FAQAre sample reports customer case studies?

No. Sample reports are illustrative proof of report structure unless explicitly labeled as approved customer evidence.

FAQWhich findings appear in a sample report?

Reports may show evidence records, confidence tiers, scores, assumptions, exclusions, owner actions, and owner-review status.

Branded visual operating model

Reports are easier to trust when the evidence path is visible.

Sample reports connect source context, confidence tiers, executive interpretation, and owner actions.

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.

Governed action Move only after owner review

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

Buyer path

Choose the next step that matches your buying stage.

Industrial IQ is designed for evidence-first buyers. Review sample proof, run a bounded Snapshot, align the buyer committee, or request a founder-led diagnostic pilot when the operating problem is ready for review.

Read-only diagnostics · No ERP write-back · Source files purged after report generation · Human review before action

Still evaluating View Sample Reports

See what the report looks like before sharing internal data.

Have a data export Run Free Industrial IQ Snapshot

Start with an export-first diagnostic path and no ERP write-back.

Need committee alignment Download Buyer Evaluation Guide

Give finance, operations, procurement, ERP, security, and maintenance the same evaluation frame.

Ready for review Request Founder-Led Pilot

Ask for a founder-led pilot review when the problem has an owner and source data is available.

Review board-ready Industrial IQ sample reports before uploading private operational data.

Sample report preview

These are deterministic AI2COE sample reports created for demonstration.

Review the proof format first, then choose the diagnostic path.

Choose the sample report by the decision the buyer needs to make.

What a strong Industrial IQ sample report should prove.

Sample reports show proof format, not approved customer evidence.

Show the buyer the workflow before asking for data.

Industrial IQ sample report gallery is one platform with eight diagnostic AI engines.

Inspect the upload, mapping, evidence, score, report, and action workflow before private data is uploaded.

Upload operational data

Map fields

Evidence table

Diagnostic score

Questions buyers should answer before private upload.

Do sample reports use private customer data?

What should buyers inspect in a sample report?

What happens in a live diagnostic?

Which sample report should a buyer open first?

Can buyers download the supporting sample files?

How should a buyer committee review these samples?

PartsCleanse AI

InventoryMind AI

ProcureMind AI

FinanceMind AI

AssetMind AI

ReliabilityMind AI

ReadyMind AI

GovernanceMind AI

Choose the next action by buyer readiness.

What this page helps leaders decide.

Recommended next step

Related Industrial IQ pages

Sample reports show the proof structure before private upload.

Primary support links

Buyer questions answered here

Reports are easier to trust when the evidence path is visible.

Choose the next step that matches your buying stage.