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 →
Proof Pack

The public evidence layer for PartsCleanse AI.

Enterprise buyers should not have to trust a claim without knowing whether it is a benchmark assumption, a calculator estimate, a diagnostic finding, or a platform control. This proof pack puts those surfaces in one place.

8 assetsEvidence surfaces
Source purgeData lifecycle stated
No write-backERP-safe posture
Evidence summary

Buyer evidence resource

PartsCleanse AI Proof Pack: Use this page to understand the operating question, exported-data evidence path, review boundary, and next Industrial IQ action. Open the PartsCleanse AI proof pack: benchmark methodology, engine validation, sample reports, safe claims, source purge, and pilot evidence assets.

Run Free Industrial IQ Snapshot
Review ownerExecutive sponsors, operating leaders, finance reviewers, procurement teams, maintenance owners, ERP/data leaders, and governance reviewers who need evidence before approving action.
Input file contextOperational CSV exports, item master fields, inventory, procurement, asset, work-order, finance, readiness, or governance data depending on the page.
Diagnostic evidenceSource-backed evidence, scores, confidence tiers, report outputs, action tracking, score history, and governance context.
Recommended actionRun Free Industrial IQ Snapshot and select the diagnostic engine that matches the operating question.
Enterprise trust posture

Proof controls buyers expect before they upload operational data.

Source purge Uploaded source files are purged after report generation; summary metrics and Open Findings remain.
No ERP write-back The diagnostic creates evidence for review. It never changes, deletes, merges, or overwrites ERP records.
Local currency Reports display money in the user's selected or country-derived currency, while USD remains the base audit calculation.
Audit trail Report ownership, access, quota, and feedback events are retained for governed review.
Session downloads Excel, Word, PDF, and CSV downloads are available only in the active generation session.
Open Findings Browser findings remain available without retaining the original source catalog rows.
Proof architecture

How a public claim becomes buyer-usable evidence.

01 Source file

CSV or workbook upload is mapped, normalized, and checked for readiness.

02 Engine finding

Duplicate-family candidates are scored with industrial false-positive controls.

03 Executive interpretation

Finance, procurement, operations, and governance views translate findings into decisions.

04 Data lifecycle

Source catalog is purged after report generation; summary metrics and Open Findings remain.

05 Buyer decision

The committee decides whether remediation, governance, or a deeper engagement is justified.

Evidence library

Open the proof surfaces before uploading operational data.

Competitor pressure control

Proof is where diagnostic-first positioning must stand up.

Competitors can claim larger platforms, deeper services, or broader data networks. AI2COE should win the first decision by proving duplicate exposure from the buyer's own catalog before platform scope, remediation budget, or ERP write-back is approved.

Launch standard: if a value, runtime, data-retention, or output claim appears on the site, it should point back to one of these proof surfaces.