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BOARD-READY EXECUTIVE BRIEF

The $32.1M Fraud
Your ERP Cannot See

SAP S/4HANA processes every transaction — but it does not detect fraud. FraudGuard adds 6 AI engines that block fraud before it posts, inside your existing SAP environment, with no data leaving your infrastructure.

$32.1M
Annual Fraud Detected
99.1%
Detection Accuracy
<500ms
Pre-Commit Decision
12 Min
Deployment Time

Where the $32.1M Hides in Your SAP Data

Six distinct fraud patterns — each requiring specialized AI detection. SAP S/4HANA's native controls catch none of them pre-commit.

Engine 1

Duplicate Payment Detection

$4.2M
avg. annual

Cross-entity, cross-period duplicate invoices your AP team cannot manually catch

Detection Accuracy99.7%
Engine 2

Contract Leakage Detection

$6.8M
avg. annual

Vendors charging above contract rates, expired term violations, rebate leakage

Detection Accuracy99.0%
Engine 3

Pricing & Discount Fraud

$5.1M
avg. annual

Unauthorized discounts, price manipulation, off-contract purchases flagged instantly

Detection Accuracy99.0%
Engine 4

Three-Way Match Automation

$3.7M
avg. annual

PO-GR-Invoice mismatches across 15,000+ monthly transactions with zero manual review

Detection Accuracy99.7%
Engine 5

Transfer Pricing Optimization

$8.2M
avg. annual

Intercompany pricing deviations, tax exposure, cross-border profit shifting detected

Detection Accuracy99.0%
Engine 6

Tare Weight Fraud Detection

$4.1M
avg. annual

Systematic scale manipulation and weight fraud in receiving operations caught pre-payment

Detection Accuracy97.0%

Total: $32.1M detected annually

Across a representative $500M–$2B revenue enterprise. Your number scales proportionally.

The Only Advantage That Matters: PRE-Commit

Every competitor detects fraud after payment. We stop it before it happens.

Traditional Approach

POST-Commit Detection

  • Fraud already paid — average $340K per incident
  • Recovery takes 6–18 months of legal & negotiation
  • Only ~30% of fraudulent payments ever recovered
  • Audit findings damage vendor relationships
  • SOX deficiency risk on internal controls
FraudGuard Approach

PRE-Commit Blocking

  • Transaction blocked in <500ms before payment posts
  • Zero recovery cost — fraud never occurred
  • 100% prevention vs. 30% post-fraud recovery
  • Clean vendor audit trail maintained
  • SOX 302 controls documented automatically

FraudGuard vs. Every Alternative

Four architectural advantages no competitor can match

PRE-Commit

FraudGuard

Blocks fraud before payment posts — transaction cancelled in <500ms

Competitors

POST-commit detection — fraud has already occurred, recovery takes 6-18 months

Inside SAP

FraudGuard

Native SAP BTP plugin — data never leaves your S/4HANA environment

Competitors

Cloud-first tools require data export, creating egress cost and compliance risk

Zero GPU

FraudGuard

CPU-only inference — no GPU infrastructure, no data science team required

Competitors

GPU-dependent ML platforms cost $180K+/year in compute alone

12-Minute Deploy

FraudGuard

SAP BTP MTA deployment — live in one sprint, zero code modification

Competitors

6-18 month implementation projects with expensive SAP consultants

ROI Progression by Quarter

Value compounds as each engine tunes to your specific fraud patterns

Q1
$340K
quarterly savings
$340K
cumulative
Immediate duplicate catches
Q2
$2.8M
quarterly savings
$3.1M
cumulative
Contract + pricing engines fully tuned
Q3
$5.9M
quarterly savings
$9.0M
cumulative
Transfer pricing + three-way match
Q4
$5.8M+
quarterly savings
$14.8M+
cumulative
Full fraud pattern coverage
$14.8M protected in Year 1
Based on $500M+ revenue enterprise. Scales linearly with transaction volume.

Real Results. Real Enterprises.

Three recent deployments — anonymized per NDA

Global Manufacturer
$2.8B
Revenue
$14.2M
Fraud Found
3 weeks
Time to Detect

Detected 847 cross-entity duplicate invoices spanning 14 subsidiaries — all created within SAP by a single vendor.

Financial Services Firm
$1.1B
Revenue
$6.7M
Fraud Found
5 days
Time to Detect

Transfer pricing engine found $6.7M intercompany margin erosion across 3 tax jurisdictions — flagged before quarter-end close.

Pharmaceutical Company
$4.2B
Revenue
$22.1M
Fraud Found
11 days
Time to Detect

Contract leakage engine identified $22.1M in vendor overcharges across 127 active contracts — full SOX audit trail generated automatically.

Investment & Return Model

Annual license fee scales with transaction volume. ROI is consistent.

Conservative

$8.2M
annual protection
12:1
ROI
31 days
Payback
MOST COMMON

Expected

$14.8M
annual protection
22:1
ROI
17 days
Payback

Aggressive

$28.4M
annual protection
41:1
ROI
9 days
Payback

Security & Governance by Design

Your data never moves. Your compliance team never waits.

Zero Data Egress

All AI inference runs inside your SAP BTP tenant. No cloud APIs, no data export.

SOX Ready

Tamper-proof audit trail auto-generated for every blocked transaction.

GDPR Compliant

AES-256 at rest, TLS 1.3 in transit, configurable data residency.

AI Explainability Framework Explainability

Every AI decision explained — no black boxes for your auditors.

Every day without FraudGuard costs $88K in undetected fraud

Schedule a 30-Minute Executive Briefing

We show your team exactly where fraud is hiding in your SAP data today. No pitch. No slides. Live detection on your anonymized transaction sample.

12 min
to deploy
0
code changes needed
17 days
average payback