How to Prevent Expense Fraud in an AI-Driven World

Fraud Is Rising—and Your Financial Controls May Not Be Ready

Nearly 60% of companies reported higher fraud losses from 2024 to 2025, according to Experian. TransUnion data puts the average cost at 7.7% of annual revenue globally rising to 9.8% for U.S. companies. For CFOs and finance leaders, that means direct revenue leakage, compliance exposure, and erosion of trust with auditors, regulators, and boards.

What has changed is how fraud happens. AI tools now generate fake receipts, clone invoices, and create synthetic identities that are nearly indistinguishable from real ones. Deloitte's Center for Financial Services projects generative AI could enable fraud losses of $40 billion in the U.S. alone by 2027. Three-quarters of global business travelers already believe AI is being used to fabricate expenses, according to SAP Concur research.

What's Driving the New Wave of Expense Fraud

Five Emerging Threats Finance Teams Need to Know

Deepfake invoices

AI generates invoices with realistic logos, VAT lines, and metadata that pass human review.

Deepfake audio and video

Bots mimic executives or colleagues to pressure employees into approving out-of-policy spend.

Synthetic identities

Fraudsters combine real data—such as a tax ID number—with fabricated names to open vendor accounts or submit expense reports.

Hybrid work vulnerabilities

Distributed teams increase expense volumes while reducing informal, in-person oversight.

Payment and check fraud: Bad actors access employee email to redirect payments by altering invoice routing numbers.

Why Internal Controls Alone Are Not Enough

Internal controls are insufficient in 76% of global fraud cases, according to KPMG. Manual workflows, limited spend visibility, and rapid organizational growth create gaps where issues compound undetected—often until a formal audit, long after the financial leakage has occurred.

Five Steps to Build Fraud Resilience

Effective fraud prevention combines AI-powered detection, automation, and human oversight. This eBook outlines five practical steps for finance leaders:

1. Embed spend policies directly into booking and approval workflows
2. Automate expense management to close the gaps where fraud hides
3. Deploy AI and machine learning to review 100% of expense reports in real time
4. Enable dynamic card controls that restrict how and where funds can be spent
5. Balance automation with trained human auditors who investigate flagged exceptions

SAP Concur brings all five capabilities together. Automated audits powered by SAP Concur reduce the cost of expense report errors by 60%—while AI-driven anomaly detection and certified human reviewers help teams stop fraud before payment occurs.

Frequently Asked Questions

What is AI-driven expense fraud?

AI-driven expense fraud uses artificial intelligence tools to fabricate or manipulate financial claims. Common examples include AI-generated receipts, deepfake invoices with realistic logos and VAT lines, and synthetic identities used to submit fraudulent expense reports. Three-quarters of global business travelers believe AI is already being used to fabricate expenses, according to SAP Concur research.

How does AI help detect expense fraud?

AI and machine learning analyze expense reports, receipts, and card transactions in real time to flag suspicious patterns. Models trained on historical data—including confirmed AI-generated examples—score anomalies that human reviewers would miss. Fifty-five percent of CFOs expect AI to catch more errors and potential fraud than their current team does, according to SAP Concur's 2025 CFO Insights Report.

What are the most common types of expense fraud today?

Leading threats include deepfake invoices, synthetic identity fraud, account takeover, and hybrid-work vulnerabilities that reduce in-person oversight. Businesses globally lose an average of 7.7% of annual revenue to fraud, with U.S. companies losing 9.8%, according to TransUnion data.

Why aren't internal controls enough to stop modern fraud?

Internal controls are insufficient in 76% of global fraud cases (KPMG). Manual processes and limited spend visibility mean issues often go undetected until audits—long after the financial leakage occurs. AI-powered tools and automated audit workflows are now essential to close these gaps in real time.

What is the difference between expense fraud and non-compliant spend?

Fraud is intentional deceptive spending designed to result in personal gain. Non-compliant spend is any expenditure that violates company policy or regulatory requirements but is not necessarily deliberate. Both create financial exposure, but they require different detection and remediation approaches.

Download the eBook

Download the eBook to discover how to identify emerging AI-driven fraud threats, apply five practical risk management steps, and build the financial controls your organization needs.