AI Usage at a Glance
Timeline
Apr 8, 2019
ProductivityPractice documented: Flywire deployed CashMatch AI, a feature of its Invoiced by Flywire platform, that automatically matches incoming payments to open invoices without human intervention. The system handles complex scenarios like partial payments, overpayments, and missing remittance details, assigning a confidence score to each match.
Practice DocumentedView practice →Apr 8, 2019
OtherPractice documented: 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.
Practice DocumentedView practice →Sep 14, 2023
Customer SvcPractice documented: Flywire offers healthcare provider clients an AI-driven chatbot that supports patients 24/7 with billing questions, balance inquiries, and payment plan setup. The chatbot uses machine learning to improve its responses over time based on patient interactions.
Practice DocumentedView practice →Feb 23, 2024
OtherNew evidence: Flywire Corporation Annual Report 2023 (10-K)
Evidence AddedView practice →Jan 1, 2025
OtherPractice documented: Flywire offers AI-powered fraud detection tools bundled with every subscription to Sertifi by Flywire's credit card authorization solution, used by over 20,000 hospitality businesses. The system analyzes each submitted credit card and assigns an A-F risk score to help hotel staff decide whether to accept or reject a transaction.
Practice DocumentedView practice →Jan 1, 2025
Data AnalysisPractice documented: Flywire 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.
Practice DocumentedView practice →Jan 1, 2025
ProductivityPractice documented: Flywire 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.
Practice DocumentedView practice →Jan 1, 2025
ProductivityNew evidence: AI-Native Invoice-to-Cash Platform For Businesses | Flywire
Evidence AddedView practice →Jun 4, 2025
ProductivityPractice documented: Flywire integrated Gong, a third-party AI-based revenue intelligence platform, to automatically record and analyze sales calls and emails, generate meeting summaries, identify deal risks, and produce follow-up suggestions for its sales and marketing teams.
Practice DocumentedView practice →Jun 4, 2025
ProductivityPractice documented: Flywire deployed a suite of 14 internal AI chatbots called Flywire AI Assistants, designed to give employees quick answers to company information. Each assistant is purpose-built for a specific topic area and draws from Flywire's internal knowledge systems.
Practice DocumentedView practice →Jun 4, 2025
Customer SvcPractice documented: Flywire deployed a suite of AI-powered customer support tools including a payment-inquiry chatbot, a phone voice bot, and an email intent detection system to handle routine questions from payers and clients. These tools are operated by Flywire's Client and Payment Experience team.
Practice DocumentedView practice →Jul 30, 2025
OtherNew evidence: Staying Ahead of Common Hotel Frauds with AI | Sertifi Blog
Evidence AddedView practice →Sep 1, 2025
Data AnalysisNew evidence: Cash Applications & Reconciliation Use Cases | Invoiced
Evidence AddedView practice →Mar 30, 2026
OtherNew evidence: The AI Exchange: Innovators in Payment Security Featuring Flywire
Evidence AddedView practice →Mar 30, 2026
ProductivityPractice documented: Flywire 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.
Practice DocumentedView practice →Recent activity
Flywire 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.
The Cash Collection Forecasting feature leverages machine learning algorithms to analyze a wide range of documents including invoices, autopay records, and transaction histories, producing cash flow projections with weighted probabilities. The feature is part of Invoiced by Flywire's Accounts Receivable Automation platform. This capability is confirmed in documentation from Invoiced by Flywire, a subsidiary acquired by Flywire in August 2024.
Flywire 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.
As stated by Flywire's Chief Product Officer in a March 2026 interview with the PCI Security Standards Council, Flywire's development teams use AI-assisted tooling to accelerate software development, automate routine tasks, and improve code quality. The company has also begun using AI in support and operational processes to help triage issues faster and surface insights from large volumes of operational data. Specific tooling details were not disclosed in publicly available sources.
Flywire 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.
Smart Chasing analyzes customer-level payment behavior and adjusts collection outreach cadences in real time, selecting among email, letter, phone, and SMS channels. High-risk accounts escalate to human collectors; accounts with clean payment histories process automatically. Separately, a generative AI feature composes personalized dunning messages tailored to specific invoices and relationship context rather than sending generic templates. Both features are part of Invoiced by Flywire, which was acquired by Flywire in August 2024.
All practices by category
Flywire 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.
Flywire 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.
Flywire integrated Gong, a third-party AI-based revenue intelligence platform, to automatically record and analyze sales calls and emails, generate meeting summaries, identify deal risks, and produce follow-up suggestions for its sales and marketing teams.
Flywire deployed a suite of 14 internal AI chatbots called Flywire AI Assistants, designed to give employees quick answers to company information. Each assistant is purpose-built for a specific topic area and draws from Flywire's internal knowledge systems.
Flywire deployed CashMatch AI, a feature of its Invoiced by Flywire platform, that automatically matches incoming payments to open invoices without human intervention. The system handles complex scenarios like partial payments, overpayments, and missing remittance details, assigning a confidence score to each match.
Flywire deployed a suite of AI-powered customer support tools including a payment-inquiry chatbot, a phone voice bot, and an email intent detection system to handle routine questions from payers and clients. These tools are operated by Flywire's Client and Payment Experience team.
Flywire offers healthcare provider clients an AI-driven chatbot that supports patients 24/7 with billing questions, balance inquiries, and payment plan setup. The chatbot uses machine learning to improve its responses over time based on patient interactions.
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.
Flywire offers AI-powered fraud detection tools bundled with every subscription to Sertifi by Flywire's credit card authorization solution, used by over 20,000 hospitality businesses. The system analyzes each submitted credit card and assigns an A-F risk score to help hotel staff decide whether to accept or reject a transaction.
Cite this record
Trace Foundation. (2026). Flywire: documented AI practices (data as of 2026-07-09) [Data set record]. AI Trace. https://www.aitrace.org/r/company/6a3fb477-cc0f-4438-b64a-231f4cf4fe44. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/company/6a3fb477-cc0f-4438-b64a-231f4cf4fe44
- Data as of
- July 9, 2026
- Last verified
- Not recorded
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