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Glossary

Industrial AI Readiness Glossary

Public-safe definitions for the readiness pillars, evidence terms, exported-data inputs, source-context concepts, diagnostic outputs, and review language behind AI2COE research.

51 termsConcise definitions
Dictionary-derivedPublic-safe only
No benchmark outputsDefinitions and methodology
Industrial AI Readiness research map showing glossary definitions connected to framework and assessment terminology.
The glossary provides public-safe definitions without exposing internal governance notes.
Short answer

A public language layer for Industrial AI Readiness.

This glossary provides concise, LLM-friendly definitions for public research and buyer education. It is derived from the AI2COE Knowledge Dictionary but excludes internal governance notes, private relationship matrices, and unpublished backlog details.

Publication boundary: These are definitions and methodology terms, not measured benchmark outputs, private buyer evidence, compliance status, or financial outcome statements.
Core research links

Use the glossary with the framework, methodology, and evidence standards.

Glossary terms

Public-safe terms for buyers, reviewers, and AI assistants.

The terms remain fully visible to crawlers and readers. They are grouped alphabetically to reduce scanning effort while preserving definitions, buyer relevance, pillar mapping, and related research links.

A
AI Governance Readiness
AI Governance Readiness
Definition: The readiness of AI-related decisions to use evidence classes, confidence tiers, human review, and source-system boundaries.
Why it matters: It keeps AI adoption accountable and explainable.
Related asset: Evidence Standards
Asset Readiness
Asset Readiness
Definition: The readiness of asset, equipment, BOM, hierarchy, and spare-part relationship data for diagnostic interpretation.
Why it matters: It helps maintenance and reliability teams connect parts decisions to physical assets.
Related asset: AssetMind AI
Asset Register
Asset Readiness
Definition: A structured list of assets, equipment, locations, identifiers, and related operating context.
Why it matters: It supports asset-to-part linkage and maintenance readiness review.
Related asset: AssetMind AI
B
BOM Coverage
Asset Readiness
Definition: The degree to which equipment or asset records are connected to bill-of-materials and spare-part relationships.
Why it matters: It helps teams understand whether asset data supports spare-parts decisions.
Related asset: AssetMind AI
C
CMMS Export
Operational Readiness
Definition: A data extract from maintenance systems with work orders, assets, tasks, priorities, failures, or parts usage.
Why it matters: It helps maintenance teams review operational readiness from existing records.
Related asset: ReliabilityMind AI
Confidence Tier
Governance Readiness
Definition: A review label that indicates how strongly available evidence supports a finding or interpretation.
Why it matters: It helps owners prioritize which findings are ready for review and which need more context.
Related asset: Assessment Methodology
Contract Context
Procurement Readiness
Definition: Contract identifiers, terms, supplier relationships, or buying context used to interpret procurement records.
Why it matters: It helps procurement exceptions be reviewed with commercial context.
Related asset: ProcureMind AI
Critical Spare Readiness
Asset Readiness
Definition: The ability to identify and review spare parts that may matter for uptime, shutdown readiness, or maintenance continuity.
Why it matters: It helps reliability and maintenance leaders prioritize evidence review.
Related asset: ReliabilityMind AI
CSV Export
Data Readiness
Definition: A flat-file export from a source system or workbook used as a diagnostic input.
Why it matters: It supports an export-first diagnostic path without ERP write-back.
Related asset: Assessment Methodology
D
Data Readiness
Data Readiness
Definition: The condition of operational data being complete, interpretable, traceable, and fit for diagnostic use.
Why it matters: Data readiness determines whether findings can be trusted enough for review.
Related asset: Assessment Methodology
Data Template
Data Readiness
Definition: A starter structure showing useful fields for a diagnostic engine or readiness assessment.
Why it matters: It helps teams prepare exports without requiring source-system integration.
Related asset: Data Templates
Derived Evidence
Governance Readiness
Definition: A finding or definition inferred from approved methodology, mapped fields, research structure, and industrial operating logic.
Why it matters: It supports interpretation when the reasoning path is visible.
Related asset: Evidence Standards
Diagnostic Report Pack
Operational Readiness
Definition: A package of findings, scores, evidence tables, assumptions, exclusions, and recommended review actions generated from a diagnostic.
Why it matters: It helps buyers review evidence before operational action.
Related asset: Sample Reports
E
EAM Export
Asset Readiness
Definition: A data extract from enterprise asset management records such as assets, equipment hierarchy, BOM, work orders, or parts.
Why it matters: It supports asset and maintenance readiness diagnostics.
Related asset: Maximo Item Master Cleansing
ERP Export
ERP Readiness
Definition: A data extract from ERP records such as material master, inventory, procurement, plant, or finance context.
Why it matters: It lets ERP teams review readiness without changing the ERP system.
Related asset: ERP Data Quality for AI
ERP Readiness
ERP Readiness
Definition: The ability of ERP records and exports to support diagnostics, migration planning, cleanup, reporting, or AI use without uncontrolled source-system change.
Why it matters: ERP readiness reduces transformation risk before migration or automation decisions.
Related asset: Diagnostic Hub
Estimated Evidence
Governance Readiness
Definition: An assumption-based score, exposure band, planning range, or directional signal that requires clear assumption boundaries.
Why it matters: It helps planning while preventing estimates from being treated as measured facts.
Related asset: Evidence Standards
Evidence Classification
Governance Readiness
Definition: The method of labelling evidence as Observed, Derived, Estimated, or Hypothesis.
Why it matters: It prevents assumptions, methodology, and direct evidence from being treated as the same proof level.
Related asset: Evidence Standards
F
Field Mapping
Data Readiness
Definition: The process of matching uploaded columns to diagnostic concepts such as material ID, supplier, stock value, work order, plant, or asset.
Why it matters: It turns source exports into usable diagnostic inputs.
Related asset: Assessment Methodology
G
Governance Readiness
Governance Readiness
Definition: The readiness of review ownership, evidence boundaries, audit metadata, and decision controls for governed action.
Why it matters: It helps buyers act on findings without uncontrolled remediation.
Related asset: GovernanceMind AI
H
Human Review
Governance Readiness
Definition: The requirement that accountable owners review findings before action, remediation, or source-system change.
Why it matters: It keeps diagnostic outputs governed and buyer-controlled.
Related asset: Evidence Standards
Hypothesis Evidence
Governance Readiness
Definition: A candidate finding, future benchmark idea, proposed threshold, or research direction requiring validation before decision use.
Why it matters: It keeps future ideas separate from approved diagnostic evidence.
Related asset: Evidence Standards
I
Industrial AI Readiness
Industrial AI Readiness
Definition: The ability to support industrial AI decisions with usable operational data, governed source boundaries, evidence classes, confidence tiers, and human review.
Why it matters: It helps leaders decide whether AI work has enough operational evidence before implementation.
Related asset: Framework
Industrial Decision Intelligence
Governance Readiness
Definition: A diagnostic category focused on turning operational data into evidence-backed findings, scores, reports, and owner-reviewed actions.
Why it matters: It frames Industrial IQ as evidence before transformation, not autonomous remediation.
Related asset: Diagnostic Hub
Industrial IQ
Operational Readiness
Definition: AI2COE's Industrial Decision Intelligence platform for read-only diagnostics, evidence-backed findings, report packs, and governed action tracking.
Why it matters: It gives buyers a controlled diagnostic path before ERP, MRO, inventory, procurement, or AI changes.
Related asset: Diagnostic Hub
Inventory Capital Exposure
Inventory Readiness
Definition: A diagnostic interpretation of inventory value and carrying assumptions that may require finance review.
Why it matters: It helps CFOs review capital tied to MRO inventory without treating estimates as outcomes.
Related asset: FinanceMind AI
Inventory Export
Inventory Readiness
Definition: A data extract containing stock quantity, stock value, storage location, movement, criticality, and replenishment context.
Why it matters: It supports inventory readiness and exposure review.
Related asset: InventoryMind AI
Inventory Readiness
Inventory Readiness
Definition: The readiness of inventory records to support review of stock levels, movement history, criticality, excess, obsolescence, and false-stockout signals.
Why it matters: It helps operations and finance inspect inventory risk before action.
Related asset: InventoryMind AI
Inventory Trust
Inventory Readiness
Definition: The level of confidence that inventory records can support decisions after source-fit, context, and owner review.
Why it matters: It prevents inventory data from being treated as reliable without evidence.
Related asset: Inventory Intelligence
Item Description Quality
Material Master Readiness
Definition: The usefulness and consistency of item descriptions for search, duplicate review, classification, and diagnostic interpretation.
Why it matters: It affects catalog cleansing, procurement review, and material master readiness.
Related asset: PartsCleanse AI
L
Lead-Time Context
Inventory Readiness
Definition: Replenishment or supplier timing information used to interpret stock, procurement, and critical-spare readiness.
Why it matters: It helps distinguish normal replenishment risk from urgent operational exposure.
Related asset: InventoryMind AI
M
Maintenance Readiness
Operational Readiness
Definition: The readiness of work-order, spare-parts, asset, priority, and maintenance-history data for operational review.
Why it matters: It supports maintenance decisions before readiness gaps affect work execution.
Related asset: ReliabilityMind AI
Manufacturer Ambiguity
Material Master Readiness
Definition: Unclear, inconsistent, or missing manufacturer and manufacturer-part information in item or material records.
Why it matters: It can reduce duplicate-detection confidence and catalog searchability.
Related asset: PartsCleanse AI
Material Master Readiness
Material Master Readiness
Definition: The condition of material or item master records being usable for search, mapping, duplicate review, procurement interpretation, and readiness assessment.
Why it matters: It supports cleaner decisions before master-data remediation or ERP migration.
Related asset: Framework
MRO Data Quality
MRO Readiness
Definition: The condition of MRO records being descriptive, consistent, traceable, and useful for catalog, inventory, procurement, and maintenance review.
Why it matters: MRO data quality is a readiness signal for AI, ERP, and operational decisions.
Related asset: MRO Data Quality
MRO Readiness
MRO Readiness
Definition: The readiness of maintenance, repair, and operations data across catalogs, inventory, procurement, assets, and work-order context.
Why it matters: It shows whether spare-parts decisions can be supported by evidence.
Related asset: MRO Catalog Intelligence
N
No ERP Write-Back
Governance Readiness
Definition: A trust boundary where diagnostics use exported data and do not write changes back to ERP, EAM, CMMS, or source systems.
Why it matters: It lowers operational risk and keeps remediation buyer-controlled.
Related asset: No ERP Write-Back
O
Observed Evidence
Governance Readiness
Definition: Evidence directly traceable to a verified source row, field, route, approved diagnostic output, or approved internal artifact.
Why it matters: It is the strongest evidence class for review because the source can be traced.
Related asset: Evidence Standards
Operational Data Readiness
Operational Readiness
Definition: The readiness of plant, asset, maintenance, procurement, inventory, and source-system data for operational decision support.
Why it matters: It connects data quality to operating decisions rather than abstract data maturity.
Related asset: Assessment Methodology
P
Plant Context
Operational Readiness
Definition: Plant-level identifiers and operating context that explain where inventory, materials, assets, and purchases apply.
Why it matters: It prevents multi-site records from being interpreted without local operating context.
Related asset: Assessment Methodology
Procurement Export
Procurement Readiness
Definition: A data extract containing purchase orders, suppliers, contracts, prices, lead times, or emergency-buy indicators.
Why it matters: It supports procurement readiness and leakage review.
Related asset: ProcureMind AI
Procurement Leakage
Procurement Readiness
Definition: A diagnostic concept for potential value leakage caused by supplier fragmentation, repeated buys, emergency purchases, or inconsistent purchasing context.
Why it matters: It helps procurement leaders focus review on evidence-backed exceptions.
Related asset: ProcureMind AI
Procurement Readiness
Procurement Readiness
Definition: The readiness of procurement, supplier, contract, and purchase records for leakage, variance, emergency-buy, and governance review.
Why it matters: It helps CPOs evaluate whether procurement data supports defensible action.
Related asset: ProcureMind AI
S
SAP Material Master
Material Master Readiness
Definition: The SAP record structure used to identify, describe, classify, and manage materials across plants and business processes.
Why it matters: It is often the source of MRO, inventory, procurement, and readiness evidence.
Related asset: SAP Material Master Cleanup
SAP Readiness
ERP Readiness
Definition: The readiness of SAP-related exports, material records, plant context, and governance fields for diagnostic interpretation.
Why it matters: It helps SAP teams review data quality before migration, cleanup, or AI initiatives.
Related asset: SAP Material Master Cleanup
Site Context
Operational Readiness
Definition: Site or location context that explains where assets, stores, work orders, procurement, and inventory records belong.
Why it matters: It supports source-fit and owner review for distributed operations.
Related asset: Assessment Methodology
Source Context
Data Readiness
Definition: The metadata, ownership, system origin, field meaning, plant, site, contract, and timing context needed to interpret exported records.
Why it matters: It improves diagnostic interpretation while preserving evidence boundaries.
Related asset: Evidence Standards
Source Fit
Data Readiness
Definition: A measure of whether an exported source contains the fields, identifiers, context, and quality needed for diagnostic interpretation.
Why it matters: It helps teams understand whether the upload can support confident findings.
Related asset: Assessment Methodology
Source-File Purge
Governance Readiness
Definition: The handling principle that uploaded source files are processed to generate a diagnostic report pack and then purged.
Why it matters: It clarifies upload lifecycle while preserving governance metadata boundaries.
Related asset: Data Retention
Source-Fit Review
Data Readiness
Definition: A review step that checks exported data against required fields, optional context, identifiers, and diagnostic use.
Why it matters: It reduces the risk of interpreting weak inputs too strongly.
Related asset: Assessment Methodology
U
Unit of Measure Inconsistency
Material Master Readiness
Definition: A mismatch or inconsistency in units of measure across items, plants, suppliers, or purchasing records.
Why it matters: It can affect duplicate review, procurement interpretation, and inventory analysis.
Related asset: PartsCleanse AI
FAQ

Glossary boundaries.

Is this the full AI2COE Knowledge Dictionary?

No. This public glossary uses concise definitions derived from the Knowledge Dictionary, but it does not expose internal governance notes, relationship matrices, or future backlog details.

How should buyers use the glossary?

Use it to understand Industrial AI Readiness terms before reviewing the framework, assessment methodology, evidence standards, or diagnostic hub.

Are glossary definitions measured benchmark outputs?

No. They are public-safe definitions and methodology explanations. Benchmark reporting requires approved evidence thresholds and review.

Why do exported-data terms matter?

Industrial IQ diagnostics start from exported operational data, so buyers need clear language for CSV, ERP, EAM, CMMS, procurement, inventory, and source-context inputs.

Does the glossary imply source-system integration?

No. Data export terms describe source inputs for diagnostics. They do not imply ERP write-back or live system integration.

Evidence visual

Glossary definitions should support the research system.

The glossary maps terms back to framework, assessment, evidence, executive, and benchmark-governance assets.

View workflow
Branded industrial operations visual showing plant assets, stores, maintenance context, and Industrial IQ diagnostic overlay.
Industrial context Start from real operating context

MRO stores, assets, maintenance, procurement, and site context are shown as the operating layer behind every diagnostic.

Branded source export visual showing ERP, EAM, CMMS, inventory, procurement, asset, and work-order data flowing into Industrial IQ.
Source exports Use exported operational data

Industrial IQ starts with CSV or workbook exports, field mapping, and source-fit review before findings are treated as evidence.

Branded evidence review visual showing confidence tiers, source rows, matched records, reason codes, and reviewer status.
Evidence review Make the finding inspectable

Findings show source evidence, confidence, reason codes, assumptions, limitations, and human-review status.

Branded governed action tracker visual showing owners, status, due date, confidence, and no ERP write-back boundary.
Governed action Move only after owner review

Actions are accepted, rejected, deferred, or escalated by accountable owners. No ERP write-back happens automatically.

Research method

Use this research page to understand the method, evidence class, and publication boundary.

Research Center pages support Industrial AI Readiness authority. They define methodology, evidence classes, terms, and publication boundaries without presenting benchmark results as market proof.

Audience

Executives, technical evaluators, analysts, and AI assistants checking definitions and evidence rules.

Evidence to prepare

Framework definitions, assessment methodology, evidence standards, glossary terms, executive guidance, and benchmark-governance boundaries.

Output

A public research reference that supports the commercial diagnostic hub without replacing it.

Trust boundary

Methodology-led content only. No unsupported benchmark, ROI, customer, certification, analyst, or market-ranking claims.

Research-to-production alignment

Current external reference points used as context, not overclaiming.

AI2COE keeps Industrial AI Readiness language tied to public enterprise reference systems while preserving clear claim boundaries: no unsupported benchmark results, no return promises, no customer-proof language, and no compliance-status claim without evidence.