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: /research/industrial-ai-readiness/framework
Governance Readiness
Industrial Decision Intelligence
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: /solutions/industrial-ai-readiness
Operational Readiness
Industrial IQ
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: /solutions/industrial-ai-readiness
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: /research/industrial-ai-readiness/assessment-methodology
Operational Readiness
Operational Data 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: /research/industrial-ai-readiness/assessment-methodology
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: /solutions/industrial-ai-readiness
ERP Readiness
SAP 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: /solutions/sap-material-master-cleanup
Material Master Readiness
SAP Material Master
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: /solutions/sap-material-master-cleanup
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: /research/industrial-ai-readiness/framework
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
MRO Readiness
MRO Data Quality
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: /sap-maximo-oracle-mro-data-quality
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: /solutions/inventorymind-ai
Inventory Readiness
Inventory Trust
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
Inventory Readiness
Inventory Capital Exposure
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: /solutions/financemind-ai
Asset Readiness
Critical Spare 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: /solutions/reliabilitymind-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: /solutions/procuremind-ai
Procurement Readiness
Procurement Leakage
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: /solutions/procuremind-ai
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: /solutions/assetmind-ai
Operational Readiness
Maintenance 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: /solutions/reliabilitymind-ai
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: /solutions/governancemind-ai
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Evidence Classification
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Observed Evidence
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Derived Evidence
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Estimated Evidence
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Hypothesis Evidence
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
Confidence Tier
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: /research/industrial-ai-readiness/assessment-methodology
Data Readiness
Source Fit
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: /research/industrial-ai-readiness/assessment-methodology
Data Readiness
Source-Fit Review
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: /research/industrial-ai-readiness/assessment-methodology
Data Readiness
Field Mapping
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: /research/industrial-ai-readiness/assessment-methodology
Data Readiness
Data Template
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: /resources/data-templates
Data Readiness
CSV Export
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: /research/industrial-ai-readiness/assessment-methodology
ERP Readiness
ERP Export
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
Asset Readiness
EAM Export
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: /solutions/maximo-item-master-cleansing
Operational Readiness
CMMS Export
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: /solutions/reliabilitymind-ai
Procurement Readiness
Procurement Export
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: /solutions/procuremind-ai
Inventory Readiness
Inventory Export
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: /solutions/inventorymind-ai
Asset Readiness
Asset Register
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: /solutions/assetmind-ai
Asset Readiness
BOM Coverage
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: /solutions/assetmind-ai
Material Master Readiness
Item Description Quality
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: /solutions/partscleanse-ai
Material Master Readiness
Manufacturer Ambiguity
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: /solutions/partscleanse-ai
Material Master Readiness
Unit of Measure Inconsistency
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: /solutions/partscleanse-ai
Procurement Readiness
Contract Context
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: /solutions/procuremind-ai
Inventory Readiness
Lead-Time Context
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: /solutions/inventorymind-ai
Operational Readiness
Plant Context
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: /research/industrial-ai-readiness/assessment-methodology
Operational Readiness
Site Context
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: /research/industrial-ai-readiness/assessment-methodology
Data Readiness
Source Context
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: /research/industrial-ai-readiness/evidence-standards
Governance Readiness
No ERP Write-Back
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: /trust/no-erp-writeback
Governance Readiness
Source-File Purge
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: /trust/data-retention
Governance Readiness
Human Review
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: /research/industrial-ai-readiness/evidence-standards
Operational Readiness
Diagnostic Report Pack
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: /platform/sample-reports