SAP Concur + ProfitGuard AI

Expense Fraud Ends Here.
Every Claim Verified by AI.

ProfitGuard monitors every SAP Concur expense report, travel booking, and corporate card transaction — detecting fraud patterns that policy rules alone will never catch.

$1.7M
Avg. Annual Savings
6
Fraud Pattern Engines
100%
Expense Reports Analyzed
<1hr
Detection Latency
SAP Concur Certified
REST API v4.0 Integration
Multi-Region Support

The Hidden Cost of T&E Compliance Gaps

Corporate travel and expense programs are among the most fraud-prone areas in enterprise finance. Most organizations only catch 5-10% of policy violations.

15-20%

of expense reports contain policy violations

Most go undetected with manual review

$58

average cost to manually process one expense report

ProfitGuard reduces this to $12

20 min

average manager review time per report

Most is rubber-stamped in <30 seconds

AI-Powered Expense Intelligence

Six Fraud Patterns We Detect

Each pattern engine uses specialized ML models trained on millions of expense transactions, catching fraud that rule-based systems and manual reviews consistently miss.

Duplicate Expense Claims

$340K avg. detected/year

AI detects when the same expense is submitted multiple times — across different reports, time periods, currencies, or even slightly altered amounts.

  • Same receipt submitted across multiple expense reports
  • Cross-currency duplicate detection (USD claim + EUR claim for same charge)
  • Altered amount duplicates (original vs. slightly changed)
  • Split expense fraud (one dinner across multiple reports)
  • Resubmitted rejected expenses with minor modifications

Personal Expense Misclassification

$280K avg. detected/year

ML models identify personal expenses disguised as business costs — from personal meals to family travel to non-business purchases on corporate cards.

  • Weekend and holiday expenses coded as business meals
  • Non-business-destination travel charges
  • Personal subscription and membership fees
  • Family member travel expenses on corporate bookings
  • Entertainment expenses exceeding policy norms

Ghost Receipt & Fabricated Expenses

$195K avg. detected/year

Advanced pattern recognition detects fabricated receipts, round-number claims without documentation, and expenses with no corresponding business activity.

  • Receipts with inconsistent formatting or fonts
  • Round-number expenses with no itemized receipt
  • Claims for closed or non-existent vendors
  • Expenses on dates with no calendar meetings
  • Sequential receipt numbers from different vendors

Travel Policy Violations

$420K avg. detected/year

Real-time monitoring of travel bookings against corporate travel policy — catching premium upgrades, non-preferred vendors, and advance booking violations.

  • Business class bookings when economy is policy
  • Non-preferred hotel and airline usage
  • Last-minute booking premium avoidance
  • Extended stay beyond meeting schedules
  • Ground transportation exceeding policy limits

Per Diem & Mileage Fraud

$165K avg. detected/year

GPS and route analysis validates mileage claims, while per diem tracking ensures meal and incidental rates match actual travel locations and dates.

  • Inflated mileage claims vs. optimal route distance
  • Per diem claims for dates not actually traveling
  • Dual claiming (per diem + itemized meals)
  • Home-to-office mileage disguised as business travel
  • Mileage claims on days with no business meetings

Manager Approval Anomalies

$310K avg. detected/year

Behavioral analytics detect rubber-stamp approvals, self-approval patterns, collusion between employees and managers, and threshold manipulation.

  • Managers approving expenses in <5 seconds (rubber-stamping)
  • Expenses just below approval thresholds (threshold gaming)
  • Reciprocal approval patterns (A approves B, B approves A)
  • Self-approval through delegation chain exploitation
  • After-hours bulk approvals without review
$1.7M+
Average Annual Expense Fraud Prevented
79%
Reduction in Processing Costs
92%
Policy Compliance Rate Improvement

Continuous Monitoring, Not Periodic Audits

ProfitGuard analyzes every Concur expense in real time — not quarterly samples — giving finance teams unprecedented visibility into travel and expense compliance.

Step 01

Real-time Ingestion

Every expense report, receipt, and travel booking syncs to ProfitGuard via Concur REST API v4.0 within minutes of submission.

Step 02

AI Pattern Analysis

Six specialized ML engines analyze each transaction against historical patterns, peer behavior, policy rules, and fraud indicators.

Step 03

Risk Scoring

Every expense receives a risk score from 0-100. High-risk items are flagged for review with specific fraud pattern explanations.

Step 04

Action & Recovery

Automated workflows route flagged expenses for review, initiate recovery processes, and update policy rules based on findings.

See What Your Expense Reports Are Really Costing You

15-20% of expense reports contain policy violations. ProfitGuard finds them all — automatically, continuously, and with 97%+ accuracy.

14-day free trial • No implementation fees • SAP Concur Certified • ROI guarantee

SAP Concur Expense Intelligence | Fraud Detection | ZYNOVIQ PROFITGUARD