How AP Teams Can Prevent Invoice Fraud with AI
This SAP Concur blog post discusses how AI and automation can help accounts payable (AP) teams prevent increasingly sophisticated invoice fraud. It cites the Finance Leaders' Fraud Report 2026, which found that business email compromise affects 45% of respondents, impersonation fraud rose from 35% in 2025 to 40% in 2026, and deepfake audio/video fraud appeared for the first time. The article proposes five ways to strengthen the invoice process, including standardizing data entry, checking against trusted records, embedding policy into workflows, focusing on exceptions, and keeping information visible and connected. It also references SAP Concur's ROI research, showing that businesses using…
Impact and considerations
Invoice fraud is becoming more sophisticated, with AI-driven tactics making manual review insufficient. Finance teams need AI and automation to strengthen internal controls and reduce financial losses.
Key points
- Business email compromise affects 45% of respondents; impersonation fraud rose from 35% to 40%; deepfake fraud appears for the first time.
- 62% reported financial losses in the past three years, yet only 22% felt very well protected.
- AI-powered capture standardizes invoice data entry, reducing manual errors and omissions.
- Two-way and three-way matching against purchase orders and contracts helps identify discrepancies.
- Automated workflows embed policy into approval processes, ensuring high-value or unusual invoices get extra review.
- AI surfaces exceptions, allowing AP teams to focus on judgment-intensive cases.
- Connected invoice management provides end-to-end visibility, aiding audit and pattern detection.
- Businesses using Concur Invoice process invoices 2.5x faster and save 20% on costs.
Sources and time
- Primary source
- SAP Concur
- Other sources
- 0
- First source publication
- 20 Aug 2026, 19:34
- Page published
- 27 Aug 2026, 00:44
- Last updated
- 20 Aug 2026, 19:34
- Original links
- SAP Concur Blog：How AP teams can prevent invoice fraud with AI (opens in a new tab)Primary source · en · Published 20 Aug 2026, 19:34