AI2COE separates benchmark assumptions from uploaded-data evidence. These research pages explain what is measured, what is not claimed, and how PartsCleanse AI turns assumptions into governed diagnostic output.
Each page states assumptions, calculation logic, measured evidence, exclusions, and the path from public benchmark to customer-specific diagnostic result.
Research model for evaluating whether industrial operational data is ready for governed AI diagnostics before transformation funding or platform selection.
Research benchmarkAI2COE research on duplicate SKU exposure, confidence-tier interpretation, and the difference between benchmark assumptions and uploaded-data evidence.
Research benchmarkResearch model for assessing whether SAP, IBM Maximo, Oracle, Infor, Hexagon EAM, CMMS, and related exports are usable for Industrial IQ diagnostics.
Research benchmarkResearch model for estimating the cost of false stockouts caused by duplicate spare-parts records and poor item-master searchability.
Research benchmarkFlagship AI2COE research model explaining how Industrial IQ measures catalog, inventory, procurement, finance, asset, reliability, readiness, and governance signals before and after uploaded-data diagnostics.
Research benchmarkA research model for assessing MRO catalog health across duplicate exposure, data completeness, confidence tiers, value at risk, and governance readiness.
Research benchmarkResearch model for assessing material master governance readiness through duplicate exposure, owner review, data completeness, and remediation controls.
Research benchmarkResearch model connecting duplicate MRO records, false stockouts, emergency buys, maintenance delay, and OEE recovery potential.
Research benchmarkResearch model for evaluating procurement leakage signals before running a ProcureMind AI diagnostic against purchase, supplier, material, and inventory exports.
Research benchmarkResearch model for identifying MRO material master issues before S/4HANA migration, SAP MDG scope, or data conversion work begins.
Research benchmarkAnalyst-style benchmark for estimating working-capital exposure from duplicate inventory, excess stock, carrying cost, and procurement leakage before a FinanceMind AI diagnostic.
Research benchmarkResearch model explaining how duplicate inventory records create capital exposure, carrying-cost leakage, and recoverable working-capital opportunities.
Grounded in approved AI2COE content only. No unsupported claims.