Compatible with SAP  ·  IBM Maximo  ·  Oracle ERP  ·  Hexagon EAM  ·  Infor  ·  Any CMMS — Run an Industrial IQ diagnostic →
Why Industrial Decision Intelligence

AI2COE Industrial IQ turns exported operational data into governed executive evidence.

ERP, EAM, CMMS, BI, procurement, and inventory systems hold useful records, but leadership still needs a disciplined way to diagnose value, risk, confidence, and action before transformation budgets are committed.

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Category thesis

Industrial transformation fails when action begins before evidence.

Industrial leaders are surrounded by system reports, but the reports rarely show which hidden conditions are worth funding first. Duplicate item masters, dead stock, emergency buying, weak asset-to-part linkage, work-order readiness gaps, and immature governance controls sit across different exports and ownership boundaries.

AI2COE Industrial IQ creates a common diagnostic operating model: upload data, map fields, validate quality, run deterministic engines, review source-backed evidence, quantify business impact, generate executive reports, assign actions, and track improvement over time.

Investor lens: PartsCleanse AI is the wedge. It is also the anchor proof engine; the eight-engine model creates expansion paths across finance, operations, procurement, maintenance, reliability, data governance, and AI readiness.
Platform expansion model

One diagnostic pattern, eight engines.

Industrial IQ engineDecision domainPrimary owner
PartsCleanse AIMRO Catalog DiagnosticCFO, CIO, Procurement, Maintenance, and Materials leaders
InventoryMind AIInventory Risk DiagnosticCFO, COO, Inventory, Materials, and Supply Chain leaders
ProcureMind AIProcurement Leakage DiagnosticCPO, Procurement Director, CFO, and Supply Chain leaders
FinanceMind AIWorking Capital DiagnosticCFO, Finance Head, Procurement, and Board advisors
AssetMind AIAsset-to-Part DiagnosticAsset Integrity, Maintenance, Reliability, and Operations leaders
ReliabilityMind AIReliability Readiness DiagnosticMaintenance Director, Reliability Manager, COO, and Plant leaders
ReadyMind AIAI Readiness DiagnosticCIO, CTO, COO, Data Governance, and AI Transformation leaders
GovernanceMind AIGovernance DiagnosticCISO, CIO, Audit, Governance, and Transformation leaders
Why now

ERP modernization, AI adoption, and working-capital pressure create the same requirement: defensible evidence.

ERP programs

Bad data becomes migration risk

SAP, Maximo, Oracle, EAM, and CMMS initiatives expose material-master, item-master, and asset-linkage issues that are expensive to discover late.

Finance pressure

Inventory must defend capital

CFOs need more than a benchmark. They need evidence linking duplicate inventory, carrying cost, emergency procurement, and recoverable exposure.

AI governance

Autonomy requires confidence controls

Industrial AI should start with source-backed diagnostics, human review, audit trails, confidence tiers, and no uncontrolled ERP action.

Operating model

Operational Data -> Engines -> Evidence -> Scores -> Reports -> Actions -> History.

Industrial IQ sits above exported operational data. It does not replace SAP, IBM Maximo, Oracle, Infor, Hexagon EAM, CMMS, procurement tools, inventory systems, or BI dashboards. It creates the governed diagnostic layer those systems usually do not provide.

EvidenceSource records, mapped fields, analyzer reasons, and confidence tiers
ScoresEngine-specific health, risk, leakage, readiness, and governance signals
MRR pathRecurring uploads, score history, action tracker, benchmark comparison, renewal value report
Decision questions

Questions leadership should resolve before funding transformation.

What is Industrial Decision Intelligence?

Industrial Decision Intelligence is the governed layer between exported operational data and executive action. It turns catalog, inventory, procurement, finance, asset, maintenance, readiness, and governance data into evidence, scores, reports, actions, and recurring visibility.

Why is this different from ERP reporting?

ERP reporting usually describes the transaction system. Industrial IQ diagnoses hidden operational conditions across exports, such as duplicate records, inventory risk, procurement leakage, working-capital exposure, asset-to-part gaps, maintenance readiness, and governance evidence.

Why does AI2COE avoid ERP write-back?

Many industrial findings affect procurement, maintenance, finance, and audit controls. Industrial IQ produces source-backed recommendations and review queues, but it does not autonomously change master data or write back to SAP, Maximo, Oracle, EAM, CMMS, or procurement systems.

Why is PartsCleanse AI the wedge?

MRO catalog quality is a high-friction, high-value starting point. PartsCleanse AI proves the diagnostic model with measurable duplicate-family evidence, confidence tiers, report outputs, and capital-exposure interpretation before the broader engines expand into adjacent operating risks.

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