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

AI Readiness Diagnostic

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

Run This EngineRun SampleAll Engines
Answer-first product brief

ReadyMind AI turns uploaded operational data into decision evidence.

ReadyMind AI is an active diagnostic engine: it parses source data, maps fields, validates quality, runs analyzers, scores risk, generates evidence records, assigns confidence tiers, creates review actions, and produces ReadyMind AI AI Readiness Report.

Executive rule: this engine does not replace SAP, Maximo, Oracle, EAM, CMMS, procurement, inventory, or maintenance systems. It creates governed evidence before teams decide what to remediate.
Engine contract

ReadyMind AI AI Readiness Report

ReadyMind AI validates uploaded data, maps source fields, runs deterministic analyzers, creates evidence records, assigns confidence, estimates impact, and produces an executive report.

Input data required

  • Description

Optional inputs

  • Material Id
  • Asset Id
  • Quantity
  • Unit Cost
  • Supplier
  • Site
  • Owner
  • Approval Status
  • Last Updated
Buyer relevance
Primary personaCIO, CTO, COO, Data Governance, and AI Transformation leaders
Sample dataPublic sample CSV, mapping template, data dictionary, HTML report, and PDF report are available before private upload.
Diagnostic logicDeterministic analyzers read mapped source fields, generate findings, attach evidence, and expose assumptions and limitations.
MetricAI readiness score
Score outputAI readiness score: lower values mean weaker ERP export usability, data quality, governance ownership, and first-use-case readiness.
GovernanceNo ERP write-back. Findings require owner review before remediation.
Active outputScore, findings, evidence, confidence, report, action tracker, and score history.
Report outputReadyMind AI AI Readiness Report with HTML report, CSV evidence, PDF export, action tracker entry, score history snapshot, and email delivery status.
Report emailCompleted authenticated runs attempt branded report email delivery and retain delivery status in the report inventory.
Accepted columns and aliases

What ReadyMind AI can map from SAP, Maximo, Oracle, Infor, Hexagon EAM, CMMS, and CSV exports.

InputNeedCommon aliasesMeaning
Description Yes description; item_description; material_description; maktx; short_text; part_description; long_text; desc Item, part, asset, work-order, finding, or source-record description used by the engine.
Material Id Recommended material; material_id; material_number; matnr; item; item_number; item_id; sku; part; part_number; stock_code Unique material, SKU, item, or spare-part identifier from the source system.
Asset Id Recommended asset_id; equipment; equipment_id; asset; tag; functional_location; floc; equipment_tag; asset_tag Equipment, asset, functional location, tag, or plant-register identifier.
Quantity Recommended quantity; qty; stock_qty; on_hand; qty_on_hand; unrestricted; labst; stock_on_hand Quantity, balance, order quantity, stock quantity, or demand quantity depending on engine.
Unit Cost Recommended unit_cost; cost; price; moving_average_price; map; valuation_price; standard_price; unit_price Unit cost, average cost, standard price, last purchase price, or valuation rate.
Supplier Recommended supplier; vendor; vendor_name; lifnr; supplier_name Supplier, vendor, vendor alias, or purchasing source.
Site Recommended site; plant; werks; location; storeroom; warehouse; depot; facility Plant, site, warehouse, storeroom, region, location, or operating unit.
Owner Recommended owner; data_owner; steward; responsible; approver; data_steward; business_owner Process owner, data owner, reviewer, buyer, planner, or accountable role.
Approval Status Recommended approval_status; status; approved; review_status; approved_status Approval, workflow, governance, review, or master-data change status.
Last Updated Recommended last_updated; changed_on; updated_at; modified_date Date the source record was last updated, approved, changed, or reviewed.
Multi-file diagnostic pack

Best customer results come from the right export pack.

Recommended fileFields that improve score confidence
ERP export samplematerial, asset, inventory, work-order, procurement fields
Governance questionnaireowner, approval status, review process, stewardship rules
System contextSAP, Maximo, Oracle, Infor, Hexagon EAM, CMMS export reality
Value model

What leadership can use from this engine.

AI readiness

AI readiness model

Data quality, ERP export usability, governance ownership, first-use-case fit.

Transformation risk

Transformation risk model

Unclear ownership, missing fields, weak review rules, ungoverned AI ideas.

Decision output

Decision output model

AI readiness score, operational readiness score, readiness gap report.

Product depth

P0, P1, and P2 capabilities built into the Industrial IQ product model.

PriorityCapability depth
P0ERP data quality, data freshness, owner accountability, governance readiness, and first-use-case recommendation.
P0Field completeness, consistency, duplicate-rate, site context, valuation, and review workflow scoring.
P0ERP/AI readiness output that labels what is proven, missing, assumed, and blocked.
P1ERP-specific readiness pack for SAP, Maximo, Oracle, Infor, Hexagon EAM, and CMMS exports.
P1Transformation risk register and first-use-case sequencing across PartsCleanse, InventoryMind, ProcureMind, and ReadyMind.
P1AI adoption roadmap grounded in uploaded-data readiness instead of generic AI maturity claims.
P2Industry benchmark comparison for data, ERP, governance, and AI readiness.
P2Transformation sequencing engine with budget, risk, and data-readiness gates.
P2Recurring readiness trend for quarterly steering committees.
Competitive moatCompetes against generic AI readiness assessments by using actual ERP/CMMS/export evidence and a concrete next diagnostic path.
Buyer committee interpretation

How each executive reads the same diagnostic output.

BuyerDecision questionEvidence source
CFOCan the finding be tied to capital exposure, carrying cost, leakage, or payback discipline?ReadyMind AI
COODoes the evidence reduce operating risk, downtime exposure, site friction, or service disruption?ReadyMind AI
CIO / ERP ownerAre source fields mapped, export quality visible, and ERP write-back avoided unless governed?ReadyMind AI
ProcurementDoes the diagnostic expose supplier, PO, duplicate spend, stocked-but-purchased, or price-variance risk?ReadyMind AI
Maintenance / ReliabilityDoes the evidence affect work-order readiness, false stockout, shutdown coverage, or critical-spare confidence?ReadyMind AI
Data governanceCan findings be reviewed, accepted, rejected, audited, and defended after the report is shared?ReadyMind AI
Evidence and confidence model

What the engine produces after a governed run.

Output layerExampleWhy it matters
ScoreAI readiness score0-100 signal with risk level and trend-ready snapshot.
Score formulaDeterministic calculationThe report exposes the scoring formula and component inputs; random scores are not used.
FindingReadyMind AI AI Readiness ReportIssue title, severity, source engine, and owner-facing action.
EvidenceMapped source recordsSource-row references, relevant fields, analyzer reason codes, and confidence tier.
Evidence graphSource -> finding -> evidence -> actionThe result carries an evidence graph for review, report, action, and score-history continuity.
ConfidenceHigh / Medium / Needs ReviewCoverage, completeness, source-field quality, and analyzer agreement.
ActionOwner review itemRecommended action, priority, due window, and review status.
Renewal valueRecurring management viewThe report shows exposure identified, review queue size, actions created, and next review cadence.
Workflow

Upload to diagnostic to recurring intelligence.

StepLayerGoverned behavior
1UploadCSV export enters the parser. Source file retention rules are disclosed.
2MapERP/CMMS aliases are inferred, then corrected or confirmed by the user.
3ValidateRequired fields, completeness, missing values, and confidence reducers are shown before run.
4AnalyzeEngine-specific analyzers generate findings, evidence, and impact estimates.
5GovernFindings receive confidence tiers and human-review status before any action.
6ReportExecutive report, evidence table, action tracker, and score snapshot are produced.
Industry fit

Configured for asset-intensive operating reality.

Oil & GasSAP S/4HANA migration, turnaround readiness
ManufacturingOEE improvement, plant consolidation
Food & Beverageline uptime, multi-plant standardization
PharmaceuticalsGMP audit, validated maintenance
Healthcare Facilitiesclinical uptime, biomed asset coverage
Higher Education Campusescampus maintenance visibility, storeroom consolidation
Government & Public Infrastructureauditability, public asset uptime
Benchmark and claims discipline

Assumptions are separated from uploaded-data results.

Public pages may use benchmark ranges to help leaders understand the problem. A diagnostic run replaces the benchmark with mapped source records, actual evidence, confidence tiers, and report ownership.

Low-confidence or high-risk findings are routed to human review. AI2COE does not make autonomous ERP updates or unsupported ROI claims.

Source resultUploaded data, mapped fields, evidence records, score snapshot
AssumptionBenchmark, industry range, carrying-cost assumption, ROI scenario
GovernanceOwner review, confidence tier, audit log, no write-back
Benchmark methodologyRun this engine
Knowledge graph

Problem -> ERP export -> industry context -> engine evidence -> action.

ReadyMind AI connects the buyer problem to source-system evidence, industry risk language, report outputs, and governed action tracking. This makes the page readable to executives and buying committees without exposing private datasets or internal code.

Problem signalERP / CMMS exportField mappingAI Readiness IntelligenceEvidence tableHuman reviewExecutive report
Frequently asked questions

Questions buyers ask before running AI Readiness Intelligence.

What data does ReadyMind AI need?

ReadyMind AI requires Description. Optional fields such as Material Id, Asset Id, Quantity, Unit Cost, Supplier, Site improve confidence and business-impact precision.

What does ReadyMind AI produce?

It produces ReadyMind AI AI Readiness Report, a 0-100 ai readiness score, evidence records, confidence tiers, recommended actions, and a review-ready executive summary.

Does AI2COE write back to SAP, Maximo, Oracle, or any CMMS?

No. AI2COE diagnostics are decision-support outputs. They do not change ERP, EAM, CMMS, procurement, inventory, or asset records automatically.

How does confidence tiering work?

Findings are ranked by source-field coverage, data completeness, evidence quality, analyzer agreement, and whether a human owner should review the recommendation before action.

How should leadership use the report?

Use the report to decide whether the issue is measurable, material, governable, and worth funding before starting a larger ERP, inventory, procurement, maintenance, or AI transformation program.

AI2COE Copilot