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Manufacturing verified Verified Outcome TRL 9

AI-Driven Process Mining for AP Optimization

domain Client: A global industrial manufacturing conglomerate handshake Provider: Celonis / SAP schedule Deploy: Q4 2019 (Scale)
96 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

To address low Straight-Through Processing (STP) rates across millions of annual invoices, the conglomerate deployed Process Mining technology. Instead of just automating tasks with RPA, the system analyzes the digital footprint of every invoice in SAP to identify root causes of manual blocks (e.g., price variances), enabling targeted process re-engineering and automated block removal.

rate_review Analyst Verdict

"The gold standard for modernizing GBS (Global Business Services). It moves beyond blind automation (RPA) to intelligent execution management. By fixing the upstream process flaws identified by mining, the entity achieved structural efficiency gains rather than just labor arbitrage."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The company processes millions of invoices globally. Despite an ERP backbone, the 'Touchless Rate' was low due to frequent price blocks, missing goods receipts, and master data errors. Manual rework in Shared Service Centers was high, and duplicate payments slipped through.

psychology The Solution

Implemented Celonis to x-ray the P2P process. The software connects to SAP ECC and visualizes the 'happy path' vs. deviations. It deployed 'Action Flows' to automatically remove blocks for low-value variances and nudge suppliers to correct master data inconsistencies.

settings_suggest Technical & Deployment Specs

Integrations
SAP ECC, S/4HANA
Deployment Model
SaaS / On-Prem connectivity
Data Classification
Financial Transactional
Estimated TCO / ROI
High
POC Summary (2016-01-01 to 2017-01-01)

"Initial pilot in German shared service center."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Process Standardization High Harmonizing data fields across disparate ERP instances before mining.
Automation Bias Medium Regular audit of automated block removals.

trending_up Impact Trajectory

Audited value realization curve

Analysis of >30 million process items Verified Outcome
Primary KPIDouble-digit improvement in STP (Straight-Through Processing)
Audit CycleReduction in duplicate payments

policy Compliance & Gov

  • Standards: SOX
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial Transactional

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A global industrial manufacturing conglomerate without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-911
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-911

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