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 →
ROI-driven product documentation

Industrial IQ Documentation Center

Complete AI2COE Industrial IQ documentation for platform adoption, engine guides, data preparation, ROI, ICP value, industry packs, methodology, trust, reports, pricing, and recurring value.

Run Free Industrial IQ SnapshotRequired Data by EngineDocs Home
8Engines
18Industry guides
0ERP write-back
AI adoption maturity roadmap showing discovery, diagnostics, governance, pilot prioritization, and enterprise scaling stages.
Documentation explains how exported data becomes evidence, reports, actions, and recurring score history.
Evidence summary

Industrial IQ documentation

Industrial IQ Docs: The Industrial IQ documentation center explains source exports, field mapping, report interpretation, no-write-back controls, data lifecycle, and safe next steps for diagnostic adoption. Review Industrial IQ required data, CSV upload paths, field mapping, diagnostic workflows, sample reports, trust controls, and no ERP write-back boundaries.

View Required Fields
Review ownerEnterprise evaluators, implementation teams, product champions, and technical reviewers
Input file contextThe documented data files, required fields, optional fields, mapping rules, assumptions, and report artifacts.
Diagnostic evidenceA practical adoption guide that explains how Industrial IQ is used, what it produces, and how recurring value is created.
Recommended actionReview required fields, then start with a sample or uploaded-data Industrial IQ Snapshot.
Documentation Center

Adoption, ROI, data preparation, governance, and report interpretation in one place.

Industrial IQ documentation is designed for buyer confidence: what it solves, who cares, what data is needed, what output is delivered, what value can be quantified, what decision it supports, and what diagnostic to run next.

UploadCSV export or sample dataset
Source FitRequired fields and data quality
AI MatchColumn aliases and confidence
NormalizeCanonical field preparation
DiagnoseEngine logic and evidence
ReportScore, actions, assumptions
RepeatScore history and renewal value
Start here

Choose the documentation path by decision owner.

The documentation center is intentionally deep. These six paths route the first reader to the right evidence, data, trust, or commercial question before they browse the full library.

Executive

Understand the platform

What Industrial IQ is, why the no-write-back model matters, and how executive reports are produced.

 Data owner

Prepare source exports

Required fields, mapping logic, source-fit checks, and how to prepare ERP, EAM, CMMS, procurement, inventory, asset, and work-order data.

 Operator

Run the snapshot

How Industrial IQ Snapshot routes an operating problem to the right diagnostic engine and evidence path.

 Buyer

Review proof format

Sample reports, assumptions, limitations, confidence tiers, and what the buyer committee sees before private upload.

 Governance

Check trust controls

No ERP write-back, human review, evidence traceability, confidence tiers, and data handling boundaries.

 Commercial

Compare plans

How the free snapshot, diagnostic plan, continuous intelligence, and enterprise paths differ.

Research Readiness Validation

Documentation Readiness Score: 9.3 / 10

Before8.6 / 10
After9.3 / 10
Platform explanationIndustrial IQ model, no ERP write-back, recurring intelligence, and engine selection are documented.
Engine coverageAll eight engine guides include required data, evidence, score, report, value lever, trust links, and CTA.
Buyer relevanceICP, industry, ROI, methodology, trust, and report pages connect the platform to decision owners.
Visual supportFlow maps, scorecards, ROI visuals, industry packs, and report anatomy components support scanning.
DiscoverabilityNavigation, footer, sitemap, llms.txt, breadcrumbs, related links, metadata, and schema expose the documentation system.
Enterprise Adoption Center

The documentation answers the buyer's operating questions before a diagnostic starts.

What is Industrial IQ?AI2COE's governed Industrial Decision Intelligence platform for uploaded-data diagnostics.
How do I use it?Select an engine, upload operational exports, map fields, validate evidence, review scores, and share reports.
Which engine should I run?Use the operating problem: catalog, inventory, procurement, finance, asset, reliability, readiness, or governance.
What data do I need?CSV or workbook exports from ERP, EAM, CMMS, procurement, inventory, asset, or work-order systems.
What output will I get?Evidence tables, confidence tiers, scores, action queues, executive reports, and score history.
Why is this safe?Industrial IQ produces review evidence without ERP write-back or autonomous master-data change.
Getting Started

Start with the fastest path from question to diagnostic.

Start here

What is Industrial IQ?

Industrial IQ is AI2COE's governed Industrial Decision Intelligence platform for uploaded operational data, evidence, scores, reports, actions, score history, benchmarks, and governance without ERP write-back.

Open documentation
Start here

How Industrial IQ Works

Industrial IQ moves exported operational data through engine selection, source-fit scoring, AI-assisted column matching, normalization, diagnostic scoring, evidence review, report generation, action tracking, and recurring score history.

Open documentation
Start here

User Manual

Screenshot walkthrough, sample report links, mobile validation captures, and buyer workflow guidance for Industrial IQ.

Open documentation
Start here

Industrial IQ Snapshot

Industrial IQ Snapshot is the cross-engine entry path that helps a buyer choose the right diagnostic intent and preview source-fit requirements.

Open documentation
Start here

Required Fields by Engine

Compare minimum viable upload and best upload requirements for all eight Industrial IQ diagnostic engines.

Open documentation
Platform Overview

Start with the platform model.

Platform guide

What is Industrial IQ?

Industrial IQ is AI2COE's governed Industrial Decision Intelligence platform for uploaded operational data, evidence, scores, reports, actions, score history, benchmarks, and governance without ERP write-back.

Open documentation
Platform guide

How Industrial IQ Works

Industrial IQ moves exported operational data through engine selection, source-fit scoring, AI-assisted column matching, normalization, diagnostic scoring, evidence review, report generation, action tracking, and recurring score history.

Open documentation
Platform guide

Evidence Before Transformation

AI2COE uses diagnostic evidence before transformation spend so leaders can see what data proves, what remains an assumption, and what needs human review before action.

Open documentation
Platform guide

Industrial Intelligence Score

The Industrial Intelligence Score combines engine-level readiness, evidence coverage, risk exposure, confidence tiers, and recurring movement into a leadership view.

Open documentation
Platform guide

Executive Cockpit

The Executive Cockpit turns diagnostic findings into role-ready scorecards, evidence counts, risk concentrations, action status, and renewal value signals.

Open documentation
Platform guide

Action Tracker

The Action Tracker converts findings into owner-assigned review, remediation, governance, and follow-up tasks without writing back to ERP.

Open documentation
Platform guide

Score History

Score History compares recurring diagnostics across sites, engines, and periods so leaders can see whether exposure is reducing or risk is growing.

Open documentation
Platform guide

Reports

Industrial IQ reports explain findings, evidence, score components, assumptions, limitations, confidence tiers, and next actions for internal approval.

Open documentation
Platform guide

Benchmarks

Benchmarks provide planning context that uploaded-data diagnostics replace with customer-specific evidence.

Open documentation
Platform guide

Industrial IQ Snapshot Guide

Industrial IQ Snapshot is the cross-engine entry path that helps a buyer choose the right diagnostic intent and preview source-fit requirements.

Open documentation
Engine Guides

Product-wise documentation for all eight engines.

Engine guide

PartsCleanse AI

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

Open documentation
Engine guide

InventoryMind AI

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

Open documentation
Engine guide

ProcureMind AI

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

Open documentation
Engine guide

FinanceMind AI

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

Open documentation
Engine guide

AssetMind AI

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

Open documentation
Engine guide

ReliabilityMind AI

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

Open documentation
Engine guide

ReadyMind AI

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

Open documentation
Engine guide

GovernanceMind AI

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

Open documentation
Data Preparation

Prepare source exports and mapping before upload.

Data guide

Data Preparation

Prepare CSV exports so Industrial IQ can profile source fit, infer column mapping, normalize fields, and run trustworthy diagnostics.

Open documentation
Data guide

Data Templates

Download engine sample CSVs, mapping templates, and data dictionaries before uploading customer data.

Open documentation
Data guide

Required Fields by Engine

Compare minimum viable upload and best upload requirements for all eight Industrial IQ diagnostic engines.

Open documentation
Data guide

Column Mapping Guide

Understand how AI-assisted field matching uses aliases, required fields, optional fields, completeness, confidence, and user confirmation.

Open documentation
Data guide

Sample Datasets

Use deterministic sample datasets to validate workflow and report structure before private upload.

Open documentation
Data guide

Data Quality Checklist

Check completeness, identifiers, dates, values, site context, asset context, supplier aliases, and owner fields before upload.

Open documentation
Data guide

SAP Export Guide

Export material master, inventory, purchasing, asset, and work-order CSVs from SAP for Industrial IQ diagnostics.

Open documentation
Data guide

IBM Maximo Export Guide

Export item, asset, inventory, work-order, and failure-code data from Maximo for Industrial IQ diagnostics.

Open documentation
Data guide

Oracle Export Guide

Export item master, inventory valuation, purchase order, asset, and maintenance records from Oracle for Industrial IQ diagnostics.

Open documentation
Data guide

CMMS Export Guide

Export work-order, spare, asset, and maintenance history from CMMS tools for Industrial IQ diagnostics.

Open documentation
Required Fields

Minimum viable upload and best upload requirements.

EngineRequired Data FileRequired FieldsOptional FieldsOutput GeneratedMinimum Viable UploadBest Upload
PartsCleanse AI Material or item master CSV Description Material Id, Manufacturer, Mpn, Supplier, Uom, Quantity Catalog health score, evidence, report, actions, score history Description Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
InventoryMind AI Inventory balance CSV Material Id, Quantity Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty, Demand Inventory health score, evidence, report, actions, score history Material Id, Quantity Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
ProcureMind AI Purchase order CSV Po Number, Description Material Id, Supplier, Unit Price, Quantity, Order Date, Order Type Procurement leakage score, evidence, report, actions, score history Po Number, Description Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
FinanceMind AI Inventory value file Material Id, Stock Value Description, Quantity, Unit Cost, Duplicate Family, Carrying Cost Rate, Emergency Premium Working capital score, evidence, report, actions, score history Material Id, Stock Value Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
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.
ReliabilityMind AI Work-order export Work Order, Description Material Id, Asset Id, Quantity, Stock On Hand, Priority, Planned Shutdown Maintenance readiness score, evidence, report, actions, score history Work Order, Description Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
ReadyMind AI ERP export sample Process Name, Data Source Business Unit, Data Owner, Data Quality Score, System Of Record, Automation Readiness, Governance Owner AI readiness score, evidence, report, actions, score history Process Name, Data Source Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
GovernanceMind AI Findings export Finding Id, Finding Type Confidence, Business Impact, Review Status, Reviewer, Source Record, Action Owner Governance readiness score, evidence, report, actions, score history Finding Id, Finding Type Required fields plus site, value, date, owner, asset, supplier, and criticality context where available.
Sample Datasets

Validate workflow before private upload.

Data asset

Sample Datasets

Use deterministic sample datasets to validate workflow and report structure before private upload.

Open documentation
Data asset

Data Templates

Download engine sample CSVs, mapping templates, and data dictionaries before uploading customer data.

Open documentation
Data asset

Column Mapping Guide

Understand how AI-assisted field matching uses aliases, required fields, optional fields, completeness, confidence, and user confirmation.

Open documentation
ROI and Value Realization

Assumption-safe value documentation.

ROI guide

How Industrial IQ Creates Value

Industrial IQ creates value by turning uploaded operational data into evidence-backed exposure, confidence, action, and recurring score movement.

Open documentation
ROI guide

Working Capital Exposure

Measures inventory value, duplicate families, dead stock, emergency premiums, and recoverable exposure as an estimate until uploaded data confirms it.

Open documentation
ROI guide

Inventory Carrying Cost

Estimates the annual cost of holding duplicate, dead, slow-moving, or excess inventory under transparent assumptions.

Open documentation
ROI guide

Procurement Leakage

Measures repeated purchases, stocked-but-purchased events, emergency buys, supplier overlap, and price variance.

Open documentation
ROI guide

Emergency Procurement Premium

Estimates premium paid for urgent, expedited, or breakdown purchases compared with normal buying patterns.

Open documentation
ROI guide

Dead Stock Reduction

Identifies inventory with weak movement, low demand, or obsolete asset context that may be reviewed for reduction.

Open documentation
ROI guide

Stockout Risk Reduction

Identifies critical parts, low stock, duplicate-family alternatives, and maintenance demand signals that may reduce false stockout risk.

Open documentation
ROI guide

Maintenance Readiness Value

Links work orders, spare availability, priority, failure codes, and shutdown flags to readiness decisions.

Open documentation
ROI guide

AI Readiness Value

Measures whether ERP, EAM, CMMS, and procurement exports are complete, governed, and usable for the first safe AI use case.

Open documentation
ROI guide

Renewal Value Report ROI Guide

Shows value over time: exposure identified, evidence reviewed, actions accepted, actions completed, score movement, and remaining risk.

Open documentation
ICP Value Guides

Role-specific decision documentation.

ICP value

CFO

Value guide for CFO: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

COO

Value guide for COO: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

CIO

Value guide for CIO: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

Procurement Director

Value guide for Procurement Director: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

Maintenance Director

Value guide for Maintenance Director: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

Reliability Manager

Value guide for Reliability Manager: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

SAP / Maximo Lead

Value guide for SAP / Maximo Lead: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
ICP value

Board / Investor

Value guide for Board / Investor: evidence, report outputs, KPI impact, value levers, and recommended diagnostic.

Open documentation
Industry Guides

Industry-specific diagnostic packs.

Industry guide

Oil & Gas

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Mining

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Manufacturing

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Utilities

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Power Generation

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Chemicals

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Food & Beverage

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Pharmaceuticals

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Transportation & Logistics

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Ports & Marine

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Aviation

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Construction & Heavy Equipment

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Healthcare Facilities

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Higher Education Campuses

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Government & Public Infrastructure

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Data Centers

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Renewable Energy

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Industry guide

Water & Wastewater

Industry diagnostic package, required files, executive interpretation, value levers, and recurring value use case.

Open documentation
Methodology

Score formulas, evidence boundaries, assumptions, and limitations.

Methodology

Methodology

Industrial IQ methodology explains what is measured, what evidence is used, how scores are interpreted, and what is not claimed.

Open documentation
Methodology

Catalog Health Score

Measures duplicate exposure, description quality, manufacturer and MPN coverage, supplier aliases, UOM consistency, and obsolete-risk signals.

Open documentation
Methodology

Inventory Health Score

Measures dead stock, excess, stockout risk, slow movement, critical spare coverage, and duplicated stock exposure.

Open documentation
Methodology

Procurement Leakage Score

Measures emergency buys, repeated purchases, stocked-but-purchased signals, supplier overlap, and price variance.

Open documentation
Methodology

Working Capital Exposure Methodology

Summarizes value-at-risk, carrying-cost assumptions, emergency premium assumptions, and customer-specific diagnostic requirements.

Open documentation
Methodology

Asset Intelligence Score

Measures asset-to-part linkage, critical spare coverage, active asset relevance, equipment class context, and obsolete-asset exposure.

Open documentation
Methodology

Reliability Readiness Score

Measures spare availability, work-order priority, false stockout risk, planned shutdown readiness, and repeat demand evidence.

Open documentation
Methodology

AI Readiness Score

Measures ERP export usability, data completeness, governance ownership, freshness, and first-use-case readiness.

Open documentation
Methodology

Governance Readiness Score

Measures evidence traceability, confidence tiering, review ownership, audit trail, and no-write-back governance controls.

Open documentation
Methodology

Industrial Intelligence Score Methodology

Combines engine readiness, evidence coverage, business impact, governance status, and recurring score movement.

Open documentation
Trust and Governance

Enterprise controls, no-write-back boundaries, and review discipline.

Trust guide

Trust and Governance

Industrial IQ findings are source-backed, confidence-scored, human-reviewable, audit-ready, and no-write-back.

Open documentation
Trust guide

No ERP Write-Back

Industrial IQ does not change, merge, delete, or write records back to ERP, EAM, CMMS, procurement, or BI systems.

Open documentation
Trust guide

Data Retention

Uploaded source files are processed for diagnostic output and purged according to the disclosed retention boundary.

Open documentation
Trust guide

Evidence Traceability

Every finding should connect to source fields, mapped inputs, reason codes, and confidence tiers.

Open documentation
Trust guide

Confidence Tiers

Confidence tiers separate high-confidence findings from review-required signals and weak evidence.

Open documentation
Trust guide

Human Review

Industrial IQ recommends evidence-backed review, not autonomous master-data or supplier action.

Open documentation
Trust guide

False Positive Control

Potential unsafe matches are routed to review rather than presented as automatic cleanup instructions.

Open documentation
Trust guide

Audit Trail

Runs, findings, evidence, review status, actions, and report artifacts create an auditable decision record.

Open documentation
Trust guide

Responsible AI

Industrial IQ uses explainable diagnostics, labeled samples, transparent assumptions, and human approval controls.

Open documentation
Trust guide

Security Controls

Security controls protect portal access, report ownership, source upload handling, and admin operations.

Open documentation
Trust guide

Sample vs Real Data

Sample diagnostics prove workflow and report structure; uploaded-data diagnostics replace assumptions with customer-specific evidence.

Open documentation
Reports and Outputs

Report interpretation for executive, finance, procurement, inventory, readiness, governance, and renewal decisions.

Report guide

Reports and Outputs

Industrial IQ reports are designed for executive review, source-backed evidence, assumptions, limitations, action ownership, and recurring score movement.

Open documentation
Report guide

Executive Summary Report

Summarizes diagnostic scope, score, top findings, evidence coverage, assumptions, limitations, and next actions.

Open documentation
Report guide

CFO Report

Frames findings as working-capital exposure, carrying cost, emergency premium, accepted value, and remaining exposure.

Open documentation
Report guide

Procurement Leakage Report

Explains emergency buys, repeated purchases, supplier overlap, stocked-but-purchased signals, and buyer actions.

Open documentation
Report guide

Inventory Risk Report

Explains dead stock, excess, slow movement, stockout risk, critical spare coverage, and inventory actions.

Open documentation
Report guide

AI Readiness Report

Explains ERP export usability, data quality gaps, governance ownership, readiness blockers, and first-use-case sequence.

Open documentation
Report guide

Governance Review Report

Explains evidence traceability, confidence tiers, human review, audit trail, false-positive control, and no-write-back boundaries.

Open documentation
Report guide

Renewal Value Report Output Guide

Explains identified exposure, evidence reviewed, actions accepted, actions completed, score movement, benchmark comparison, and renewal value.

Open documentation
Pricing and Plans

Commercial adoption path from free snapshot to recurring intelligence.

Plan guide

Pricing Guide

Industrial IQ pricing moves from Free Snapshot to Diagnostic Plan, Continuous Intelligence, and Enterprise Multi-Site Intelligence.

Open documentation
Plan guide

Industrial IQ Plans

Compare what is included by plan, who it is for, time to value, data required, report outputs, and upgrade path.

Open documentation
Plan guide

Free Industrial IQ Snapshot

A low-friction entry path with sample diagnostics, limited upload, top findings, and score preview.

Open documentation
Plan guide

Diagnostic Plan

A paid proof-of-value plan for selected engine diagnostics, evidence tables, executive reports, and optional human review.

Open documentation
Plan guide

Continuous Intelligence Plan

A recurring plan for monthly or quarterly uploads, score history, action tracking, benchmark comparison, reports, and renewal value.

Open documentation
Plan guide

Enterprise Intelligence Plan

An expansion plan for all engines, multi-site rollup, executive cockpit, governance exports, benchmark reports, and private deployment options if required.

Open documentation
Plan guide

Pilot Process

A structured path from diagnostic scoping to sample validation, private upload, evidence review, executive report, action plan, and renewal recommendation.

Open documentation
Plan guide

Implementation Timeline

A typical implementation starts with sample review, export preparation, upload, mapping, diagnostic run, review, report, and recurring cadence.

Open documentation
Plan guide

Industrial IQ Support

Support explains data-preparation help, mapping guidance, report interpretation, trust controls, and diagnostic scoping.

Open documentation
Evaluation Enablement

Discovery, procurement review, product briefs, pilot offers, demos, ROI briefs, and buyer committee support.

Evaluation asset

Industrial IQ Sales Platform Overview

A sales-ready explanation of AI2COE Industrial IQ for discovery, customer education, internal champions, partner enablement, and investor-confidence conversations.

Open documentation
Evaluation asset

Industrial IQ Product Briefs

Sales-ready one-page positioning for all eight Industrial IQ diagnostic engines with pain, data, output, report, value lever, and next action.

Open documentation
Evaluation asset

Industrial IQ Industry Briefs

Industry-specific talking points for the 18 Industrial IQ markets, including operating symptoms, engine packs, trust concerns, value levers, and pilot path.

Open documentation
Evaluation asset

Industrial IQ ROI Briefs

Assumption-safe value briefs for working capital, carrying cost, procurement leakage, stockout risk, maintenance readiness, AI readiness, and renewal value reporting.

Open documentation
Evaluation asset

Industrial IQ Discovery Questions

Role-based discovery questions for CFO, COO, CIO, CTO, CISO, procurement, maintenance, reliability, ERP, and governance buyers.

Open documentation
Evaluation asset

Industrial IQ Procurement Review Questions

Enterprise procurement-review guidance for no ERP write-back, uploaded data, AI boundaries, integration concerns, ROI assumptions, reports, and competitive alternatives.

Open documentation
Evaluation asset

Industrial IQ Pilot Offer

Pilot packaging for a bounded Industrial IQ diagnostic: scope, required data, timeline, report outputs, governance review, success criteria, and expansion path.

Open documentation
Evaluation asset

Industrial IQ Demo Script

A demo narrative that shows input data, guided selector, mapping readiness, diagnostic evidence, report preview, governance controls, assumption-bound value interpretation, and next action.

Open documentation
Evaluation asset

Industrial IQ Buyer Committee Map

Map CFO, COO, CIO, CTO, CISO, procurement, maintenance, reliability, ERP/data, and board stakeholders to their evidence needs, objections, reports, and CTA.

Open documentation
FAQs

Common buyer questions before upload, diagnostic review, and plan selection.

FAQ

FAQs

Common questions about Industrial IQ, engine selection, data preparation, sample vs real results, no ERP write-back, pricing, reports, and governance.

Open documentation
Buyer Enablement Validation

Industrial IQ Documentation Center buyer enablement checklist.

Problem solvedTurns an operational data question into source-backed diagnostic evidence.
Who caresCFO, COO, CIO, procurement, maintenance, reliability, ERP, governance, and board stakeholders where relevant.
Data neededCSV exports with stable IDs, descriptions, quantities, values, dates, site, asset, supplier, and owner context where available.
Output deliveredScores, evidence table, confidence tiers, executive report, action tracker items, score history, and governance status.
Value quantifiedWorking capital, carrying cost, emergency premium, dead stock, stockout risk, readiness gaps, or governance risk depending on diagnostic intent.
Decision supportedWhether to act, review, normalize data, escalate findings, fund remediation, or repeat the diagnostic cadence.
Report shared internallyExecutive, CFO, procurement, inventory, readiness, governance, or renewal value report.
Recurring valueBaseline score -> re-upload -> score movement -> action closure -> benchmark comparison -> renewal value report.
Assumptions and limitationsBenchmarks and estimates remain planning context until customer-specific uploaded data is analyzed and reviewed.
Trust controlsNo ERP write-back, evidence traceability, confidence tiers, human review, false-positive control, audit trail, and data-retention boundaries.
Start with Industrial IQ Snapshot View Required Data by Engine Review Trust Controls
Buyer intent

What decision this page helps the buyer make.

Decision question

What files, fields, workflow steps, report outputs, and review rules are needed to use Industrial IQ?

Best-fit reader

Implementation teams, technical evaluators, product champions, and governance reviewers preparing for the first diagnostic.

Related decision topics
required fieldsdiagnostic workflowCSV uploadconfidence tiers
Useful next reads
data preparationhow Industrial IQ worksreport interpretationsample reports
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 Documentation Center is the public operating manual for platform workflow, engine guides, data requirements, ROI methodology, reports, trust controls, and buyer enablement.

Commercial relevance

Documentation reduces founder dependency and helps enterprise buyers, implementation partners, investors, and internal champions understand the product without a sales call.

Operational symptoms

Evaluation slows when buyers cannot find required fields, report meaning, assumptions, governance boundaries, or the right diagnostic path.

Required input files

Engine specifications, required fields, sample datasets, report types, ROI methodology, trust policies, and commercial package definitions.

Diagnostic method

Documentation follows the same data-to-decision model as the platform: exported data, mapping, validation, evidence, confidence, reports, actions, and score history.

Evidence model

Docs should produce buyer understanding: field checklists, method notes, report interpretation, FAQ answers, and links to sample proof.

Buyer-role interpretation

CIO, CISO, finance, procurement, maintenance, reliability, and governance teams use documentation to reduce evaluation ambiguity.

Traditional approach vs Industrial IQ

Traditional product docs often explain features. Industrial IQ docs explain decisions, evidence, limitations, and adoption sequence.

Trust boundary

Documentation must keep sample, benchmark, and uploaded-data evidence clearly separated.

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
Enterprise context

What data is required for Industrial IQ diagnostics?

Industrial IQ diagnostics begin with exported operational data such as item masters, inventory balances, purchase orders, supplier records, asset registers, BOMs, work orders, finance assumptions, and governance review fields. Field mapping turns those exports into diagnostic evidence without requiring direct ERP integration.

Business outcome

Evaluation teams can prepare data and review scope before committing to a diagnostic.

Financial impact

The same documentation helps finance understand which fields support exposure and carrying-cost review.

Operational impact

Data owners can see which optional fields improve confidence for maintenance, inventory, procurement, and AI readiness.

Risk control

Docs keep sample outputs, uploaded-data evidence, and trust boundaries clearly separated.

Related operating terms

ERP data readiness enterprise data quality field mapping data readiness for AI industrial data operations diagnostic workflow

Relevant systems and source data

SAP IBM Maximo Oracle Infor Microsoft Dynamics 365 EAM CMMS CSV exports

Connected decision paths

downloadable CSV templates · sample reports · Industrial AI Readiness requirements · security and data handling brief · buyer evaluation guide

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.

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