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Reviewed and published by trentmaziarz, July 9, 2026. Discovered and drafted by our automated research pipeline.
Flywire uses an AI and machine learning fraud detection engine, trained on millions of transactions, to detect anomalous payments across its global payment network and escalate flagged activity to human compliance analysts. The system covers ACH, check, card, and wire transactions.
Details
Flywire's 2024 Annual Report (10-K) confirms that its 'AI and ML enabled fraud detection risk engine has trained against millions of automated clearing house (ACH), check, card, and wire transactions.' Machine learning algorithms analyze transaction activity and user behavior to identify potentially fraudulent transactions in real time. Flagged payments are escalated to Flywire's Compliance and Operations teams for human review rather than being automatically blocked. As of March 2026, Flywire's Chief Product Officer confirmed in a PCI Security Standards Council interview that AI is being incorporated to strengthen fraud detection and anomaly monitoring across global payment flows.
Products affected
Flywire payment platformFlywire cross-border payment and receivables platform
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). Flywire: Flywire uses an AI and machine learning fraud detection engine, trained on millions of transactions, to detect anomalous payments across its global payment network and escalate flagged activity to human compliance analysts. The system covers ACH, check, card, and wire transactions (data as of 2026-07-09) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/b8535f19-e7ca-4fbe-8259-32a967dc3978. Accessed October 7, 2026.
- Stable link
- https://www.aitrace.org/r/practice/b8535f19-e7ca-4fbe-8259-32a967dc3978
- Data as of
- July 9, 2026
- Last verified
- Not recorded
Other practices by Flywire
Data AnalysisFlywire offers a cash collection forecasting feature within Invoiced by Flywire that uses AI to analyze invoice data, autopay records, and transaction histories to project future cash flow with weighted probability models. Finance teams use these predictions to anticipate when payments will arrive and which accounts need attention.ProductivityFlywire uses AI-assisted tooling internally to help its software development teams write code faster, automate routine engineering tasks, and improve code quality. This practice is part of Flywire's broader 'AI-first mindset' described by its Chief Product Officer.ProductivityFlywire offers Smart Chasing, an AI system within Invoiced by Flywire that automatically selects the optimal channel, message, and timing for following up with overdue accounts based on each customer's payment history. The platform also uses generative AI to compose personalized collection messages referencing specific invoices and customer context.
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