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 →
Buyer-ready product brief

AssetMind AI Product Brief

AssetMind AI sales brief for value proposition, buyer pain, required data, diagnostic output, report delivered, value lever, and CTA.

Run Free Industrial IQ SnapshotDocumentation CenterTrust Center
8Diagnostic engines
18Industries
0ERP write-back
Evidence summary

Commercial review asset

AssetMind AI Product Brief: This sales resource helps teams explain Industrial IQ clearly, qualify buyer intent, show proof boundaries, and propose the right diagnostic next step. AssetMind AI: Industrial IQ resource context for uploaded-data evidence, assumption-bound value interpretation, governance controls, and the next buyer action.

Request Diagnostic Discussion
Review ownerSales teams, partner teams, internal champions, and buyer-enablement stakeholders
Input file contextBuyer pain, industry context, required data, diagnostic outputs, report examples, objections, and pilot criteria.
Diagnostic evidenceA practical sales resource that keeps discovery, proof, pilot scoping, and buyer committee conversations aligned to Industrial IQ.
Recommended actionUse the resource to qualify the buyer problem and route the opportunity to the right diagnostic engine.
Product brief

AssetMind AI for sales, marketing, and buyer champions.

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

This brief helps the seller explain what the engine does, what data is needed, what output is delivered, what report is produced, what value lever is affected, and what next action the buyer should take.

InputAsset Id, Description + Material Id, Asset Status, Criticality, Equipment Class, Site
DiagnosticAsset-to-part linkage, plant-register relevance, critical asset spare coverage, obsolete asset spare exposure, and asset risk heatmap.
OutputAsset intelligence score, evidence table, confidence tiers, report, actions, and score history.
ValueEquipment hierarchy risk heatmap, retired-asset stock queue, equipment-class gaps, and criticality-weighted exposure. Asset criticality matrix and spares coverage index by plant, line, equipment class, and location.
Product brief matrix

How to position AssetMind AI.

One-line value propositionAssetMind AI turns uploaded operational data into Asset intelligence score, evidence, report output, actions, score history, and governance context.
Buyer painAsset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.
Input filesAsset Id, Description
Optional fieldsMaterial Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date
Diagnostic outputAsset intelligence score, evidence rows, confidence tiers, assumptions, limitations, and action recommendations.
Report deliveredAssetMind AI Asset-to-Part Risk Report
Value leverEquipment hierarchy risk heatmap, retired-asset stock queue, equipment-class gaps, and criticality-weighted exposure.
CTARun Asset-to-Part Intelligence
Required fields

Minimum viable and best upload.

EngineRequired Data FileRequired FieldsOptional FieldsOutput GeneratedMinimum Viable UploadBest Upload
AssetMind AI Asset register Asset Id, Description Material Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date Asset intelligence score, evidence, report, actions, score history Asset Id, Description Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
Engine operating brief

How this diagnostic works for an ICP.

Readiness labelSample Diagnostic Available
Business problemAsset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.
Buyer roleAsset Integrity, Maintenance, Reliability, and Operations leaders
Trigger eventAsset register cleanup, BOM readiness, asset-to-part linkage gaps, obsolete asset spares, or critical equipment coverage reviews.
Core source exportAsset Id, Description
Optional fieldsMaterial Id, Asset Status, Criticality, Equipment Class, Site, Last Used Date, Quantity, Unit Cost
Upload workflowUpload -> Validate -> Analyze -> Evidence -> Score -> Report -> Action -> Repeat
Column mappingIndustrial IQ profiles source-fit, suggests field matches, asks the user to normalize unmapped required fields, then recalculates mapping readiness before the engine runs.
Evidence generatedSource-backed evidence rows, reason codes, confidence tiers, review status, assumptions, limitations, and action-owner context.
Score outputAsset intelligence score
Report outputAssetMind AI Asset-to-Part Risk Report
Confidence tiersHigh-confidence findings can move to review; weak or unsafe matches stay in human-review queues.
Recurring use caseMonthly or quarterly re-uploads create score history, action progress, benchmark comparison, and renewal value reporting.
Public proof assets

Sample outputs a Asset-to-Part Intelligence buyer can inspect before sharing private data.

These assets use synthetic public sample data. Customer screenshots, customer logos, real results, security questionnaires, and data-room artifacts require written approval before external use.

PDF download

PartsCleanse AI sample executive report

Review the report structure, evidence framing, assumptions, limitations, confidence tiers, and leadership summary.

 Browser preview

Interactive sample diagnostic

Inspect how Industrial IQ presents score, evidence, action context, and no ERP write-back governance.

 Sample CSV

Sample dataset for trial evaluation

Use a synthetic file to test the upload, mapping, validation, and sample diagnostic journey.
View All Sample Reports View Sample Datasets
Industrial IQ platform bridge

How this connects to AI2COE Industrial IQ

Asset-to-Part Intelligence is not treated as an isolated content topic. Industrial IQ connects it to uploaded data, engine evidence, confidence tiers, executive reports, actions, score history, and governance review.

Run Free Industrial IQ Snapshot Explore 8 Diagnostic Engines
PartsCleanse AIcreates catalog evidence and duplicate-family findings.
InventoryMind AIextends catalog signals into inventory risk, dead stock, excess stock, and stockout exposure.
ProcureMind AIconnects supplier and purchase signals to emergency buying, repeat purchases, and leakage.
FinanceMind AItranslates operating findings into working-capital exposure, carrying cost, and ROI scenarios.
AssetMind AIconnects parts to asset relevance, equipment coverage, and plant-register context.
ReliabilityMind AIconnects spare availability to maintenance readiness, false-stockout risk, and shutdown planning.
ReadyMind AIevaluates ERP, data, governance, and AI readiness gaps before transformation spend.
GovernanceMind AImanages confidence, evidence traceability, human review, and auditability.
Evaluation resource map

Turn documentation into a guided evaluation path.

Resources and docs should help reviewers move from methodology to templates, proof format, trust review, and pilot decision without hunting through long text blocks.

Download Data Templates
Methodology

Research and framework pages define terms, readiness pillars, and evidence boundaries.

 Required fields

Data templates clarify the source files and fields each diagnostic engine can evaluate.

 Sample outputs

Sample reports show how evidence, scores, confidence tiers, and open findings are presented.

 Review controls

Trust pages explain no ERP write-back, source-file handling, human review, and procurement review language.