Expense report fraud detection
Expense fraud is getting harder and harder to spot with the naked eye — especially with the rise of receipts generated by generative AI. Here are the main fraud types, the detection methods, and how EVA by TEVASOFT's AI auditing addresses them.
The main types of expense report fraud
Falsified or AI-generated receipts
Altered amounts, changed dates, or receipts created from scratch by image generators or fake-document services.
Duplicates across employees
The same receipt submitted by two people, or a shared expense claimed in full by each participant.
Fictitious or out-of-policy expenses
Expense claims that match no real trip, or spending that circumvents authorized caps and categories.
Non-compliant receipts
Illegible or incomplete documents, or receipts missing the mandatory mentions required for VAT deductibility.
Three levels of detection
- Declarative rules: simple checks (caps, categories) applied automatically — the first line of defense, but insufficient alone.
- Sampling audits: a controller manually reviews a portion of expense reports — time-consuming and incomplete by nature.
- Continuous AI auditing: semantic and visual analysis of 100% of receipts, cross-referenced with HR data (leave, travel) and the expense policy.
How EVA detects fraud continuously
EVA applies 20+ real-time checks to 100% of submitted expense reports: semantic and visual analysis of receipts, cross-employee duplicate detection, consistency with leave calendars, and verification against your expense policy.
→ Discover EVA in detailFrequently asked questions
Which signals should raise fraud suspicion?+
Suspiciously round amounts, receipts without natural artifacts (typical of AI-generated receipts), duplicates across employees, or expenses that consistently sit just under control thresholds.
Is a sampling-based control enough?+
No. Sampling only covers a fraction of expense reports and misses a significant share of anomalies. Continuous auditing of 100% of expenses drastically reduces that risk.
How does EVA detect AI-generated receipts?+
EVA analyzes the metadata and visual content of every receipt to identify signs of artificial generation, on top of business-consistency checks (amounts, dates, duplicates).
Go further
Catch fraud before reimbursement
Request a demo and see how EVA detects anomalies on your own expense reports.
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