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 →
AI2COE — AI to Centre of Excellence

Build an Industrial AI Centre of Excellence on evidence.

Industrial IQ converts exported ERP, EAM, CMMS and operational data into source-backed decision evidence across eight engines and 18 industries, so your CoE can decide what to fund, remediate, pilot, govern, or reject before committing to integration-heavy platforms or bounded agents.

One operating model: use-case portfolio, source records, engine selection, evidence class, confidence, human owner, decision state, and no-write-back boundary before a pilot or scale decision.

Assess AI CoE Readiness Explore Industrial IQ Assess Agentic AI Readiness
Read-only diagnostics
No ERP write-back
Source files purged after report generation
Human-reviewed evidence
AI2COE Industrial Agentic AI evidence command center showing source records, eight-engine diagnostics, confidence indicators, human approval, controlled pilot decisions, and no-write-back boundaries.
Evidence-first Agentic AI: source context, diagnostic engines, confidence, owner review, and controlled pilot decision.
Decision guide

What does Industrial IQ help an enterprise decide?

Industrial IQ turns exported operational records into source-linked evidence, confidence tiers, reports, and owner-reviewed actions before ERP, AI, procurement, inventory, or maintenance change. Use this page to understand the platform before choosing a diagnostic engine.

Evidence boundaryEvidence boundary: public guidance explains the diagnostic path; business impact depends on uploaded records, confidence, assumptions, and accountable review.
Explore Industrial IQ
Where AI2COE fits

Before platform investment. Before remediation. Before agency.

AI2COE gives the Industrial AI CoE the evidence to decide what to fund, remediate, pilot, govern, or reject before committing to integration-heavy platforms, continuous optimisation, or bounded agents.

Open AI2COE AI ERP

Source data and context Proceed, remediate, or defer.
Operational exposure Fund, constrain, or reject.
Governance and authority Pilot, scale, or stop.
Evidence confidence Choose the appropriate downstream platform.
Platform expansion

AI2COE connects Industrial IQ, AI ERP, and governed Agentic AI.

Industrial IQ diagnoses operational evidence. AI2COE AI ERP plans and operates around ERP context. Agentic AI reasons and coordinates within approved authority.

Diagnose and understand

Industrial IQ

Active eight-engine diagnostic platform for exported operational data, evidence, confidence, reports, owner review, and no ERP write-back.

 Plan, transact, and operate with governed evidence

AI ERP

AI2COE AI ERP brings module workflows, process context, source-object evidence, approvals, and governed agents together for enterprise operations. Industrial IQ supplies the diagnostic evidence layer.

 Reason and coordinate within authority

Agentic AI

Bounded agentic AI for use cases that need source-linked findings, authority limits, human approval, and denied-action controls.

18-industry coverage

Choose the industrial context before choosing the engine.

View all industry pages
Industry Oil & Gas Open sector map Industry Mining Open sector map Industry Manufacturing Open sector map Industry Food & Beverage Open sector map Industry Pharmaceutical Open sector map Industry Utilities Open sector map Industry Data Centers Open sector map Industry Aviation MRO / Airlines Open sector map Industry Healthcare Systems Open sector map Industry Rail, Metro & Transit Open sector map Industry Telecom Network Operators Open sector map Industry Ports, Marine Terminals & Shipping Open sector map Industry Aerospace & Defense Maintenance Depots Open sector map Industry Warehousing, Distribution Centers & 3PL Open sector map Industry Commercial Fleet, Trucking & Logistics Open sector map Industry Construction & Heavy Equipment Fleets Open sector map Industry Higher Education & Multi-Campus Facilities Open sector map Industry Hospitality, Resorts & Gaming Open sector map
Evidence before agency

Agentic AI readiness is a front-door decision, not a side note.

AI2COE evaluates whether a bounded agentic use case has enough material identity, asset relationships, inventory state, work history, ownership, tool permissions, approval policy, security context, evaluation criteria, and industry context before any pilot is considered.

Across 18 asset-intensive industries, the current public boundary is read-only readiness evaluation and controlled synthetic evidence, not autonomous remediation.

Assess Agentic AI ReadinessExplore the Read-Only Evidence AgentRequest Controlled PilotBrowse Industry AI Guides
Agentic AI use-case context
Use case Industry context Approved skills Evidence Human review Pilot gates
Buyer answer paths

Answer the decisions industrial buyers need to make.

These decision paths connect Industrial AI CoE planning, Industrial IQ diagnostics, Agentic AI readiness, and evidence review without forcing every buyer into the same next step.

AI CoE

How should an industrial company build an AI Centre of Excellence?

Start with an accountable operating model, use-case intake, source-data evidence, governance controls, human review, and a decision pack before funding pilots. AI2COE connects the CoE model to Industrial IQ diagnostics instead of treating AI adoption as isolated experiments.

AI CoE governanceAI CoE FrameworkEvidence Library
Agentic AI

When is an industrial workflow ready for Agentic AI?

Agency is justified only when the decision goal, source data, tool authority, system boundary, escalation path, evidence trail, and human approval rule are explicit. AI2COE treats Agentic AI as a governed readiness question, not a shortcut to autonomous operations.

Agentic AI readinessAgentic AI ReadinessNo ERP Write-Back
Readiness

What makes industrial data ready for AI?

Industrial data is AI-ready when source records, field meaning, lineage, ownership, source fit, operational context, confidence tier, and review owner are visible enough to support a bounded decision. Completeness alone is not enough for AI adoption.

Industrial AI ReadinessIndustrial AI Readiness DiagnosticAssessment Methodology
Industry vocabulary

How should AI topics differ across the 18 AI2COE industries?

Industry AI content should begin with operating context: assets, source systems, regulated constraints, uptime exposure, procurement patterns, and review owners. The same AI term means different work in oil and gas, mining, utilities, pharma, ports, data centers, fleets, and healthcare systems.

Industry AI vocabularyIndustry Blueprints18-Industry AI Glossary
Industrial Evidence Graph

Move from exported source data to an owner-reviewed decision.

Industrial IQ keeps source rows, assumptions, confidence, and accountable review visibly separate.

01 Source tile

Exported rows and mapped fields

02 Evidence trace

Reason codes, assumptions, and limits

03 Diagnostic lens

Confidence-tiered findings, candidates, and signals

04 Human review gate

Accountable owner decision before action

Read-only boundaryNo ERP write-back. No uncontrolled remediation. Human review before action.
Catalog evidence entry point

Start where MRO data pain is easiest to prove: the material and spare-parts catalog.

PartsCleanse AI exposes duplicate candidates, weak descriptions, manufacturer ambiguity, and UOM conflicts before broader inventory and procurement review.

Duplicate candidates Field quality Confidence tiers

Review PartsCleanse AI

PartsCleanse AI catalog intelligence visual showing source records, duplicate candidates, evidence, and review output
Catalog evidence becomes the governed entry point to inventory, procurement, and finance review.
Connected diagnostic chain

Catalog → inventory → procurement → finance.

Each lens preserves its own evidence boundary while strengthening the next buyer decision.

Catalog evidence
PartsCleanse AI

Duplicate and quality candidates
Inventory context
InventoryMind AI

Excess, obsolete, and stockout signals
Procurement context
ProcureMind AI

Supplier and emergency-buy signals
Finance review
FinanceMind AI

Assumption-bound exposure bands

Eight-engine expansion

Choose the diagnostic lens for the operating decision.

Compare all engines

One platform, eight distinct decision domains, and one governed evidence model.

Catalog IntelligencePartsCleanse AI

Find catalog quality and duplicate-material risk.

SourceItem master OutputCandidate families
Open engine
Inventory Risk IntelligenceInventoryMind AI

Surface excess, obsolete, and false-stockout signals.

SourceStock + movement OutputInventory signals
Open engine
Procurement Leakage IntelligenceProcureMind AI

Trace supplier fragmentation and emergency-buy patterns.

SourcePO + supplier OutputLeakage signals
Open engine
Working Capital IntelligenceFinanceMind AI

Translate diagnostic evidence into finance review bands.

SourceValue + assumptions OutputExposure bands
Open engine
Asset-to-Part IntelligenceAssetMind AI

Connect assets, parts, BOM coverage, and criticality.

SourceAssets + BOM OutputCoverage gaps
Open engine
Maintenance Readiness IntelligenceReliabilityMind AI

Review maintenance demand and spare-readiness context.

SourceWork orders OutputReadiness signals
Open engine
AI Readiness IntelligenceReadyMind AI

Assess operational data and first-use-case readiness.

SourceERP + owners OutputReadiness gates
Open engine
Evidence Governance IntelligenceGovernanceMind AI

Govern confidence, review ownership, and evidence traceability.

SourceFindings + review OutputControl record
Open engine
From AI initiatives to enterprise capability

Build an Industrial AI Centre of Excellence on evidence.

AI programs do not scale through disconnected pilots. They need a governed operating model that connects readiness, evidence, ownership, trust controls, and scale decisions. AI2COE brings that foundation through Industrial IQ, eight diagnostic AI engines, 18 industry blueprints, and evidence-first Agentic AI readiness.

Assess AI CoE Readiness Explore Industrial IQ Assess Agentic AI Readiness
01 Diagnose Start with exported operational evidence and source-fit review.
02 Quantify Separate observed, derived, estimated, and hypothesis-level value signals.
03 Prioritize Rank decisions by evidence strength, owner urgency, and operating risk.
04 Govern Keep no-write-back, source handling, confidence tiers, and human review visible.
05 Pilot Run bounded diagnostics before broad AI or agentic commitments.
06 Scale Use score history, action tracking, and governance evidence to expand safely.
GovernSet decision rights, evidence rules, risk limits, and human-review controls.EnableProvide reusable templates, field guidance, sample reports, and diagnostic paths.OptimiseUse evidence, score history, action tracking, and owner feedback to improve the operating model.ScaleExpand only where confidence, value, governance, and operating ownership are sufficient.
Operating hierarchy: AI2COE is the AI Centre of Excellence brand. Industrial IQ is the evidence and decision-intelligence platform. The eight engines provide the diagnostic lenses.
Guided Diagnostic Selector

Source -> Qualify -> Evidence -> Review -> Decide.

A single five-stage path connects role, engine, source data, evidence, owner review, and next action without forcing every visitor into the same CTA.

01
Source

Upload exported CSV or workbook data from ERP, EAM, CMMS, inventory, procurement, asset, finance, or work-order systems.

02
Qualify

Confirm Required Fields, source fit, and engine context before findings become decision evidence.

03
Evidence

Review source-backed rows, assumptions, limitations, confidence tiers, and diagnostic scores.

04
Review

Route findings to finance, operations, procurement, maintenance, ERP/data, reliability, or governance owners.

05
Decide

Assign actions and track improvement without ERP write-back.

Sample proof

Inspect the evidence format before sharing private data.

View sample reportsOpen Evidence Library
Illustrative Industrial IQ evidence table interface
Evidence table

Inspect source rows, reason codes, confidence, and limitations.

 Illustrative Industrial IQ executive report interface
Executive report

Review score interpretation, assumptions, findings, and decision context.

 Illustrative Industrial IQ action tracker interface
Action tracker

See how reviewed findings move to owners, priorities, and status.

Sample outputs use demonstration data. Customer-specific findings require uploaded data, confidence review, and accountable owner validation.

Trust controls

Review the operating boundary at a glance.

Open Security Brief
No ERP write-backNo source-system records are changed. Source-file purgeSource files are purged after report generation. Human reviewAccountable owners review findings before action. Confidence tiersEvidence, candidates, signals, and assumptions stay distinct.
Buyer decision map

Give each owner the evidence they need to proceed.

Finance, operations, technology, procurement, and MRO leaders use the same source-backed diagnostic record through different decision lenses.

CFO / Finance

Exposure bands, assumptions, and value-review boundaries.

Open buyer path COO / Operations

Operational risk, owner actions, and site-level priorities.

Open buyer path CIO / ERP & Data

Source fit, field quality, readiness, and governance gaps.

Open buyer path CPO / MRO

Supplier, inventory, material, and emergency-buy evidence.

Open buyer path
18-industry diagnostic map

Start with the operating archetype, then choose the engine mix.

View all 18 industries
Critical infrastructure diagnostic map
Critical infrastructureEnergy, utilities, data centers, ports
 Production and throughput diagnostic map
Production and throughputManufacturing, food and beverage, mining
 Regulated operations diagnostic map
Regulated operationsPharma, aviation, healthcare, defense
 Distributed assets diagnostic map
Distributed assetsFleet, logistics, facilities, campuses
Evidence before transformation

Run the first diagnostic when the evidence path is clear.

Start with sample data or upload exported operational data to generate evidence-backed findings, scores, reports, owner actions, and score history without ERP write-back.

Run Free Industrial IQ Snapshot Request Founder-Led Pilot
AI2COE Copilot