GUIDE 01 · FOR CFOS · FOR FINANCE DIRECTORS
The Mid-Market CFO's Guide to Expense Fraud Prevention
A practical playbook for finance leaders at companies with 50–300 employees. Based on ACFE 2024 benchmark data and REME deployment insights.
The math most CFOs don't know
Most mid-market CFOs underestimate their company's expense fraud losses by 60–80%. ACFE's 2024 Report to the Nations finds that 13% of all occupational fraud cases involve expense reimbursement fraud, with a median loss of $40,000 per case and a median duration of 18–24 months before detection.
For a typical mid-market company with $1.5M in annual expense spend, this translates to $20,000–$45,000 in annual losses that go uncaptured because most finance teams don't have the time or tooling to forensically review every receipt.
13%
of occupational fraud cases involve expense reimbursement
$40K
median loss per expense fraud case
18–24
months — typical scheme duration before detection
What's inside
A preview — 2 of the 5 fraud types
The full guide details all five fraud types with anonymized case examples and detection methods. Here are the first two.
What it looks like: The same receipt submitted in different reports, often weeks or months apart. With smartphone photography, the same receipt can be photographed at slightly different angles to look like different submissions.
Anonymized example
A sales executive submits the same $250 client dinner receipt twice — once in March, once in May, for two different supposed client meetings. The second submission goes unnoticed for 8 months until a year-end audit reconciliation finds the duplicate.
What it looks like: A legitimate receipt with digitally edited values. Photo editing tools make this trivial — change one digit in an image, no one's the wiser.
Anonymized example
An employee submits a legitimate $80 hotel receipt that's been digitally edited to show $180. The fraud accumulates over 18 months across $40,000+ in inflated travel expenses before discovery during a quarterly audit.
The full guide covers all five fraud types
Plus: detection method comparison, why mid-market is vulnerable, 90-day implementation roadmap, ROI worksheets (4 worksheets to calculate your specific company's expected savings), and 15-point vendor evaluation checklist.
How detection methods compare
Different detection approaches catch different fraud types at different rates. Manual review catches ~10%. Modern expense software ~30–40%. AI-powered fraud detection ~90–95%. The full guide breaks down each method with specific strengths, weaknesses, and operational fit.
Full table with 6 methods, strengths/weaknesses, and operational fit available in the guide.
Other guides in this series
GUIDE 02
The Multi-Country Expense Policy Handbook
Practical compliance reference for US, UK, India, Australia, Singapore, and UAE.
Read preview →GUIDE 03
The Month-End Close Acceleration Playbook
How to compress month-end close from 10 days to 5. 35-task framework with automation tier guide.
Read preview →