Combatting Travel & Expense Fraud with AI and ML
An ACFE survey found that 80% of members believe AI and ML should be used in T&E programs to combat fraud. AI and ML help audit teams focus on analysis and remediation, reducing cost and duration of fraud research. However, only 41% of members use T&E data in investigations often or always, while 59% sometimes or never due to lack of reporting and sharing. 93% believe policy should be a formal document with consequences.
Impact and considerations
AI and ML are increasingly important in expense fraud detection, but data usage is insufficient. Companies need to enhance T&E data analysis and policy enforcement to reduce fraud risk.
Key points
- 80% of ACFE members believe AI and ML should be used
- AI and ML help audit teams focus on analysis
- Only 41% often use T&E data in investigations
- 59% sometimes or never due to lack of reporting and sharing
- 93% believe policy should be a formal document
Sources and time
- Primary source
- SAP Concur
- Other sources
- 0
- First source publication
- 29 Jun 2022, 19:47
- Page published
- 15 Aug 2026, 08:15
- Last updated
- 29 Jun 2022, 19:47
- Original links
- SAP Concur Blog：Why Fraud Examiners Think AI and ML Should Be Used in Company Travel & Expense Programs (opens in a new tab)Primary source · en · Published 29 Jun 2022, 19:47