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 →
Buyer Evaluation Guide

Industrial IQ Buyer Evaluation Guide.

A print-friendly guide for CFO, COO, CIO, CISO, procurement, maintenance, data-governance, and investor stakeholders evaluating AI2COE before diagnostic or pilot spend.

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8 enginesData requirements included
TrustNo ERP write-back and source-file purge
What Industrial IQ is

A read-only diagnostic evidence layer before transformation spend.

Industrial IQ turns exported operational data into confidence-tiered evidence, diagnostic scores, executive reports, and governed action queues. It helps buyers decide what to clean, integrate, migrate, optimize, govern, or transform next.

What it is not

Industrial IQ does not replace ERP, EAM, CMMS, MDM, source-to-pay, APM, BI, consulting, or enterprise AI governance platforms. It does not perform autonomous ERP remediation or uncontrolled master-data change.

Input files by engine

Prepare practical exports, then map fields during diagnostic review.

Engine templateRequired fieldsUseful optional fieldsLikely source systems
PartsCleanse AI CSV Template material_id, material_description, manufacturer, manufacturer_part_number, uom, plant oem, storage_location, stock_qty, unit_cost, last_issue_date, criticality ERP material master, EAM/CMMS item master, inventory balance, supplier/OEM reference exports.
InventoryMind AI CSV Template material_id, description, plant, stock_qty, safety_stock, unit_cost storage_location, reorder_point, max_stock, annual_usage_qty, lead_time_days, criticality Inventory balance, movement history, min/max policy, usage, lead-time, and criticality exports.
ProcureMind AI CSV Template material_id, description, supplier_id, supplier_name, purchase_order_id, po_date, unit_price qty_ordered, currency, lead_time_days, contract_id, emergency_buy_flag, plant Purchase orders, supplier master, contract reference, inventory context, and procurement export files.
FinanceMind AI CSV Template material_id, description, plant, stock_qty, unit_cost, total_value carrying_cost_rate, last_movement_date, aging_bucket, excess_flag, write_off_candidate Inventory valuation, finance assumptions, aging reports, duplicate candidates, and carrying-cost model exports.
AssetMind AI CSV Template asset_id, asset_name, equipment_type, plant, material_id, material_description location, manufacturer_part_number, critical_spare_flag, install_base_qty, maintenance_strategy Asset register, equipment hierarchy, BOM, material master, maintenance strategy, and criticality exports.
ReliabilityMind AI CSV Template work_order_id, asset_id, failure_code, material_id, issue_date, priority failure_description, downtime_hours, part_used, mtbf_days, mttr_hours, maintenance_type Work-order history, failure code, asset, inventory, part-issue, maintenance priority, and shutdown planning exports.
ReadyMind AI CSV Template business_unit, process_name, data_source, data_owner, system_of_record, ai_use_case data_quality_score, automation_readiness, governance_owner, risk_level ERP export inventory, data-owner register, process inventory, AI use-case backlog, governance questionnaire.
GovernanceMind AI CSV Template finding_id, engine_name, finding_type, evidence_source, confidence_score, review_status business_impact, assigned_owner, decision_reason, action_due_date Industrial IQ findings export, review history, action tracker, governance audit events, and owner decision logs.
Stakeholder value

Who should evaluate the diagnostic and what they receive.

StakeholderWhat they care aboutWhat Industrial IQ shows
CFO / FinanceWorking-capital exposure, carrying cost, duplicate inventory, and budget justification.Finance-ready exposure summary, assumptions, exclusions, and confidence tiers.
COO / OperationsDowntime exposure, false stockouts, maintenance readiness, and site-level operating risk.Operating-risk summary, readiness gaps, action queue, and site/asset prioritization.
CIO / CTOERP migration readiness, data quality, system boundary, and AI readiness.Source-fit score, field mapping, data-readiness gates, and no-write-back evidence.
CISO / LegalUpload lifecycle, retention, access, auditability, DPA/SLA, and certification boundaries.Security brief, data-retention statement, human-review controls, and audit metadata explanation.
ProcurementEmergency buys, supplier fragmentation, duplicate buying, price variance, and contract leakage.Procurement leakage findings, supplier alias review, and stocked-but-purchased evidence.
Maintenance / ReliabilityCritical-spare readiness, searchability, work-order delays, and false stockouts.Spare-readiness evidence, asset-to-part gaps, and review queue for maintenance owners.
Value-proof matrix

How operational data issues become buyer-reviewable evidence.

Data issueOperational riskFinancial exposureEvidence requiredIndustrial IQ outputReview owner
Duplicate MRO recordsPlanner search friction and false stockout riskDuplicate capital and carrying-cost exposureMaterial master, manufacturer, MPN, UOM, plant, stock valueDuplicate-family evidence and cleanup-priority queueERP / Data, Procurement, CFO
Excess or obsolete stockStore-room congestion and weak replenishment trustWorking capital tied up in low-movement itemsInventory balance, movement history, unit cost, aging bucketInventory-risk score and finance-review exposure bandCFO, COO, Materials
Emergency purchasesMaintenance delays and policy exceptionsPremium buys and contract leakagePO history, emergency flag, supplier, material ID, stock on handProcurement leakage evidence and supplier alias queueCPO, Procurement, Internal audit
Asset-to-part gapsCritical-spare uncertainty for maintenance workDowntime exposure and duplicated local stockingAsset register, BOM, material master, work-order usageAsset-to-part linkage evidence and spare coverage reviewMaintenance, Reliability, EAM owner
AI readiness uncertaintyUse-case selection before data trustTransformation spend without evidenceData source, owner, quality score, governance owner, use caseReadiness score and first-use-case recommendationCIO / CTO, Transformation, CISO
Evaluation checklists

Use these checklists before approving a pilot.

Buyer committee checklist

  • Name the active operating problem.
  • Identify the primary owner and secondary reviewers.
  • Choose the first Industrial IQ engine.
  • Confirm data exports and responsible data owner.
  • Agree what decision the report must support.

Technical review checklist

  • Confirm CSV/workbook export path.
  • Review required and optional fields.
  • Validate no ERP write-back is required.
  • Check source-fit and mapping assumptions.
  • Confirm score, report, action tracker, and export needs.

Procurement checklist

  • Review pricing path and fixed-fee diagnostic scope.
  • Review DPA/SLA links where applicable.
  • Confirm no unsupported savings or customer claims are being used.
  • Define success criteria and timeline.
  • Document reviewer names and approval path.

Security review checklist

  • Review data retention and source-file purge.
  • Confirm summary/audit metadata retained for governance.
  • Review no private data through general inquiry forms.
  • Confirm human review before action.
  • Review SOC 2 roadmap/status boundary.
Pilot success criteria

A successful pilot should end with a decision, not a vague demo reaction.

Source-fit score available

The exported data maps clearly enough to support a meaningful diagnostic.

Evidence confidence tiers generated

Findings separate high-confidence evidence from review-sensitive candidates.

Material action queue created

The buyer receives prioritized actions with owner, status, and review logic.

Executive report delivered

Finance, operations, technology, procurement, and governance readers can understand the result.

Buyer review completed

The pilot ends with accepted, rejected, deferred, or escalated next steps.

Next-step decision made

Leadership decides whether to fund cleanup, MDM, ERP readiness, optimization, recurring diagnostics, or no action.

When to use AI2COE first

Decision table for MDM, ERP, consulting, optimization, and procurement alternatives.

Decision eventWhy diagnose first
Before MDMUse Industrial IQ to identify the highest-value records and risk families to clean first.
Before ERP migrationUse Industrial IQ to test export readiness, material master quality, and action ownership.
Before inventory optimizationUse Industrial IQ to expose duplicate stock, dead stock, false stockouts, and critical-spare uncertainty.
Before procurement changeUse Industrial IQ to prove emergency buys, repeated purchases, supplier aliases, and stocked-but-purchased events.
Before consulting scopeUse Industrial IQ to replace abstract assessment inputs with exported-data evidence.
Trust and security controls

Review the upload lifecycle before sharing private operational data.

Read-only diagnostics. No ERP write-back. Source files are processed to generate the diagnostic report pack and then purged. Human review happens before operational action. Summary metrics, Open Findings, report ownership, quota usage, feedback, and audit metadata may be retained for governance.

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

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.

Resource review lens

Use this page to prepare the buyer committee, source files, and proof review.

Resource review reduces friction: what data is needed, how reports look, how evidence is reviewed, and which route the buyer can take next.

Best-fit reader

Implementation leads, buyer committees, data owners, procurement reviewers, and product champions.

Evidence to prepare

Required fields, CSV templates, user manuals, buyer guides, sample reports, diagnostic scenarios, and trust controls.

Output to expect

A prepared evaluation path that leads to sample proof, data templates, upload, or a scoped diagnostic discussion.

Trust boundary

Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.

AI2COE Copilot