Skip to main content
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
The Industrial Decision Intelligence SaaS layer by AI2COE.
Upload operational data, run active diagnostics, review source-backed evidence, quantify value, and track improvement without ERP write-back.
Eight Industrial IQ engines share one diagnostic model: mapped data, evidence, confidence tiers, scores, reports, actions, and history.
Evidence summary
Industrial IQ capability guide
Industrial IQ Platform: The platform page explains how Industrial IQ converts exported operational records into decision-ready evidence across catalog, inventory, procurement, finance, asset, reliability, readiness, and governance use cases. Industrial IQ turns exported ERP, EAM, CMMS, inventory, procurement, asset, maintenance, and finance data into evidence, scores, reports, actions, and.
Review ownerTransformation sponsors and data owners who need one operating model across the eight Industrial IQ engines.
Input file contextMapped exports from ERP, EAM, CMMS, inventory, procurement, asset, work-order, finance, readiness, and governance systems.
Diagnostic evidenceA shared diagnostic workflow across all eight engines: mapped data, validation, evidence, confidence tiers, score outputs, executive reports, actions, and recurring history.
Recommended actionReview the eight-engine model, then run Industrial IQ Snapshot to select the first diagnostic path.
Guided Diagnostic Selector
Choose the pilot by buyer role, pain point, and data already available.
Industrial IQ Platform should not force buyers to guess the right engine. The selector translates role and pain into the recommended Industrial IQ pilot, minimum data file, expected report, and next action.
Industrial IQ Platform should answer the buyer's first five questions without a sales call.
Enterprise buyers do not evaluate Industrial IQ as one person. Finance, operations, procurement, maintenance, ERP, security, and board sponsors each need a different proof path. This console gives every ICP a fast route to the right engine, data requirement, output, and trust control.
Find my role. Pick my engine. See the data. Trust the output. Act safely.
Buyer identityChoose the role that owns the decision so the page presents value, risk, proof, and evaluation concerns in the right language.
Industry contextMatch the diagnostic pack to sector-specific operating reality instead of forcing every buyer through a generic product story.
Source data clarityShow minimum viable upload, best upload, sample datasets, field mapping, and what happens when fields are missing.
Output proofExpose sample reports, evidence tables, review levels, score interpretation, action tracker, and score history before private upload.
Trust boundaryKeep no ERP write-back, owner review, review levels, audit evidence, and sample-versus-uploaded-data labeling visible near the CTA.
Visual engine system
Industrial IQ platform 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.
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.
Use benchmark frames for early qualification. Use uploaded-data results for customer-specific decisions.
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.
CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.
02
Map fields
AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.
03
Evidence table
Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.
04
Diagnostic score
Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.
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.
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.
What is AI2COE Industrial IQ?
A governed Industrial Decision Intelligence platform above exported operational data.
Industrial IQ sits above exported data from SAP, IBM Maximo, Oracle, Infor, Hexagon EAM, CMMS, procurement tools, inventory files, asset registers, and work-order data. It does not replace ERP, EAM, CMMS, procurement, inventory, maintenance, or BI systems. It creates evidence-backed decision intelligence those systems usually do not provide in one place.
The 8 active diagnostic engines follow the same governed pattern: upload, preview, map, validate, analyze, score, evidence, human review, report, action tracker, and recurring score history.
One unified portal. Every Industrial IQ engine follows the same governed upload-to-evidence contract: mapped data, deterministic analyzers, findings, evidence, confidence, review, reports, and recurring score history. No ERP write-back. No autonomous master-data change. No uncontrolled remediation.
Why industrial AI fails without evidence and governance
Transformation programs move faster when the first output is inspectable evidence.
Industrial teams often start with platforms, dashboards, or automation roadmaps before they know whether the underlying records are measurable, material, and safe to act on. Industrial IQ reverses the sequence: prove the finding, show the source evidence, assign review ownership, then decide what changes are worth funding.
Evidence before transformationEvery finding is tied to mapped source fields, confidence, and review status.
Governance before actionHuman review, audit trail, no write-back, and confidence controls sit inside every engine.
Recurring SaaS valueRepeated uploads feed score history, action tracking, benchmark comparison, and renewal value reports.
How upload-to-intelligence works
Operational Data -> Industrial IQ Diagnostic Engines -> Evidence -> Scores -> Reports -> Actions -> Score History -> Executive Decisions.
Operational DataCSV exports from SAP, IBM Maximo, Oracle, Infor, Hexagon EAM, CMMS, procurement, inventory, asset, and work-order systems.Industrial IQ Diagnostic EnginesEight deterministic engines map fields, validate quality, and run governed analyzers.EvidenceSource records, reason codes, confidence tiers, and human-review status.ScoresHealth, risk, leakage, working-capital, readiness, and governance signals.ReportsEngine reports, unified executive report, sample mode labels, PDF exports, and email delivery status.ActionsOwner-assigned review items with status, confidence, finding ID, and owner action.Score HistoryRecurring snapshots showing change versus prior runs, sample versus uploaded data, and risk level.Executive DecisionsCFO, COO, CIO, procurement, maintenance, board, and investor views.
Recurring SaaS value chain
First diagnostic -> baseline Industrial IQ score -> recurring uploads -> score movement -> action tracker -> benchmark comparison -> renewal value report -> multi-site expansion.
First diagnosticEstablish a governed baseline from uploaded or sample operational data.Baseline Industrial IQ scoreRecord the starting catalog, inventory, procurement, finance, asset, reliability, readiness, and governance signal.Monthly or quarterly re-uploadRefresh the evidence without ERP write-back or disruptive implementation work.Score movementCompare current score, risk tier, evidence volume, and confidence mix against prior snapshots.Action trackerShow accepted, deferred, rejected, and completed review actions by owner.Benchmark comparisonSeparate public benchmark assumptions from customer-specific uploaded-data movement.Renewal value reportSummarize identified, reviewed, resolved, remaining, and expanded opportunity value.Multi-site expansionRoll the same diagnostic model across plants, regions, and engine packs.
Operating layer
One command center for evidence, action, and recurring review.
Industrial Intelligence ScoreAggregate engine scores into one board-level view.OpenExecutive CockpitCFO, COO, CIO, procurement, maintenance, and board views.OpenAction TrackerConvert findings into owner-assigned work.OpenScore HistoryTrack monthly or quarterly improvement.OpenReportsGenerate engine-specific and unified reports.OpenGovernance LayerReview confidence, evidence, and audit readiness.OpenBuyer PacksCFO, COO, CIO/ERP, procurement, maintenance, and CISO/legal packaged journeys.OpenEvidence ContractThe shared trust model behind every engine output.OpenUniversal Diagnostic WorkbenchUpload, source-fit score, AI match, normalize, mapped readiness, run, report.OpenSample DatasetsRun governed sample mode before uploading customer data.OpenSample ReportsInspect HTML, PDF, CSV, mapping, and dictionary samples for every engine.OpenSample Board PackPublic board-ready sample bundle across all 8 engines and buyer roles.OpenOEE Impact CalculatorModel the planning-level operational effect of catalog disorder on false stockouts, emergency buys, and downtime.OpenCompetitive PositioningHow Industrial IQ compares against MRO data, MDM, EAM, APM, and consulting alternatives.OpenRenewal ValueShow identified, reviewed, accepted, resolved, and remaining value.Open
Catalog Intelligence
PartsCleanse AI
MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.
Problem solvedCatalog health score
Input dataDescription
OutputPartsCleanse AI Catalog Diagnostic Report
Owner personaCFO, CIO, Procurement, Maintenance, and Materials leaders
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
Industrial IQ is AI2COE's governed diagnostic platform for catalog, inventory, procurement, finance, asset, reliability, readiness, and governance intelligence.
Commercial relevance
The platform gives leadership one operating model for turning fragmented exported data into evidence that can be read by finance, operations, IT, procurement, maintenance, reliability, and governance teams.
Operational symptoms
Disconnected source systems, repeated manual spreadsheet reviews, delayed ERP cleanup decisions, unclear ownership, and weak confidence in transformation data.
Required input files
Exported material masters, inventory balances, purchase orders, supplier records, asset registers, BOM references, work orders, finance assumptions, and review-state data.
Diagnostic method
Industrial IQ follows one workflow across engines: upload, map, validate, diagnose, evidence, score, report, assign action, and track score history.
CIOs and CTOs verify data boundaries, CFOs verify value logic, COOs verify operating usefulness, and CISOs verify no uncontrolled system change.
Traditional approach vs Industrial IQ
ERP reporting shows what a system records. Industrial IQ tests whether the data is decision-ready before ERP remediation, AI adoption, or inventory policy changes.
Trust boundary
The platform is diagnostic-first: no ERP write-back, no uncontrolled remediation, and human review before action.
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.
What is an industrial AI platform for diagnostics?
An industrial AI diagnostic platform evaluates exported operational data, field mapping, source fit, evidence confidence, executive reporting, and action ownership before a buyer commits to system integration or transformation work. Industrial IQ is designed as the evidence layer above ERP, EAM, CMMS, inventory, procurement, and finance exports. The Industrial AI Readiness assessment hub explains the readiness category; ReadyMind AI remains the engine for readiness diagnostics inside the platform.
Business outcome
One operating model connects catalog, inventory, procurement, finance, asset, reliability, readiness, and governance diagnostics.
Financial impact
Commercial exposure is tied to source-backed evidence rather than interview-only assumptions.
Operational impact
Industrial data operations become repeatable across engines and buyer teams.
Risk control
No ERP write-back and human review remain platform-level boundaries.
Related operating terms
industrial AI platformindustrial data operationsoperational analyticsenterprise intelligencedecision support methodologyscore history
Industrial contextStart from real operating context
MRO stores, assets, maintenance, procurement, and site context are shown as the operating layer behind every diagnostic.
Source exportsUse exported operational data
Industrial IQ starts with CSV or workbook exports, field mapping, and source-fit review before findings are treated as evidence.
Evidence reviewMake the finding inspectable
Findings show source evidence, confidence, reason codes, assumptions, limitations, and human-review status.
Governed actionMove only after owner review
Actions are accepted, rejected, deferred, or escalated by accountable owners. No ERP write-back happens automatically.
Platform 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
✦ Website-grounded answers
AI2COE AI CopilotMRO catalog intelligence · website-trained
Grounded in approved AI2COE content only. No unsupported claims.
Source-groundedNo private reportsNo admin dataNo private operational data in chat
Do not paste private operational data into chat. Use the governed diagnostic upload path; source files are purged after report generation.
Ask a question. I answer only from approved AI2COE website content, cite the source pages, and route you to the right diagnostic, ROI model, industry brief, or contact path.
Ask a question
AI2COE AI
Free: Industrial IQ Sample Diagnostic Pack
PartsCleanse AI sample report
InventoryMind AI sample output
ProcureMind AI sample output
FinanceMind AI sample scenario
ReadyMind and GovernanceMind review samples
Before you leave
See how AI2COE Industrial IQ turns exported operational data into evidence, scores, reports, and review actions across catalog, inventory, procurement, finance, readiness, and governance diagnostics — without ERP write-back.
Sample-data disclaimer: sample outputs use demonstration data only and do not represent customer-specific claims.