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Media verified Verified Outcome TRL 9

Machine Learning for Invoice Fraud Detection

domain Client: A global media and advertising group handshake Provider: Oversight / Internal schedule Deploy: Q2 2019 (Adoption)
88 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

To detect sophisticated billing schemes and T&E fraud, the group deployed an AI monitoring tool. It analyzes 100% of transactions looking for behavioral anomalies (e.g., sequential invoice numbers, weekend postings, risky merchants) that standard rule-based controls miss, flagging high-risk items for forensic review.

rate_review Analyst Verdict

"Behavioral analysis over rules. Rules (e.g., 'Limit $50') are easy to game. AI looks for patterns (e.g., 'Why does this vendor only bill on Sundays?'). This proactive monitoring is essential in decentralized creative industries where spend is fragmented."

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

warning The Challenge

With agencies operating independently worldwide, central oversight was difficult. Sample-based audits missed low-value, high-frequency fraud schemes. Standard ERP controls couldn't detect collusion or sophisticated fake vendors.

psychology The Solution

Implemented Oversight Systems. The AI analyzes T&E and AP data streams. It identifies clusters of suspicious activity. It tracks 'repeat offenders' among employees or vendors. Automation handles the correspondence (emailing employee: 'Please explain this expense').

settings_suggest Technical & Deployment Specs

Integrations
SAP, Concur
Deployment Model
SaaS
Data Classification
Financial / PII
Estimated TCO / ROI
Medium
POC Summary (2018-01-01 to 2019-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Employee Backlash Medium Positioning as 'error correction' rather than 'fraud hunting'.
Data Privacy Medium Anonymization of employee data where required by works councils.

trending_up Impact Trajectory

Audited value realization curve

100% transaction monitoring Verified Outcome
Primary KPIReduction in T&E policy violations
Audit CycleImproved compliance culture

policy Compliance & Gov

  • Standards: FCPA, UK Bribery Act
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: Financial / PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for A global media and advertising group without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-926
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-926

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