Visa Expands Into AI and Digital Assets in Push for Value-Added Payment Services

As generative AI and digital finance gain ground, banks face growing competition for customers from third-party financial-management software. Payments giant Visa has launched AI Financial Assistant, a conversational tool integrated into partner banks’ mobile apps. The service draws on Visa’s vast transaction network to help financial institutions offer personalized financial guidance, curb customer attrition and retain control of critical data.

Visa unveiled the AI financial assistant on July 14, 2026, leveraging data from more than 300 billion transactions processed annually. To accelerate adoption, Visa plans to begin a pilot program with U.S. financial institutions in August 2026 before expanding it globally. In addition to spending analysis and subscription management, the assistant supports real-time card locking and security controls.

Visa is a major global payments network, while OpenAI develops generative AI and AI agent technology. Their strategic alliance aims to enable AI agents not only to process information but also to autonomously complete payments and financial transactions under preset rules, creating trusted payment infrastructure for automated commerce.

Visa has unveiled Programmable Money Rails and is integrating OpenAI technology to advance the AI agent economy. The framework is expected to allow agents to initiate and execute payments autonomously. Reports have not disclosed a formal launch date, the value of the partnership, transaction limits or the first institutions set to adopt the system.

Visa said in its Spring 2026 threat report that generative AI has sharply reduced the cost and technical barriers involved in creating phishing messages, impersonating identities and automating attacks. This allows criminal groups to target more consumers simultaneously. The focus of payment defenses is also shifting from preventing system breaches to identifying transactions made by real people who have been manipulated, creating new challenges for banks, merchants and card networks.

The latest report shows that both attackers and defenders are expanding their use of AI. Fraudsters use it to rapidly generate convincing content and test attacks at scale, while financial institutions deploy AI to strengthen real-time monitoring and anomaly detection. Visa warned that the key shift in Spring 2026 was not an increase in the value of individual fraud cases, but a simultaneous rise in the speed, volume and personalization of attacks, making them harder for traditional rules-based fraud controls to stop in time.

AI agents are evolving from providing recommendations to searching, making decisions and paying on consumers’ behalf. The shift requires the payments industry to address authorization, identity verification, risk controls and consumer control. Building on Visa Intelligent Commerce, Visa Agentic Ready allows issuers to test agentic transactions over existing card networks, moving the concept into controlled, real-world payment flows.

Visa launched the program in Europe on March 17, 2026, with 21 issuers participating, including Barclays, HSBC UK and Revolut. It expanded to Latin America and the Caribbean on April 29, followed by 10 Asia-Pacific markets with more than 50 partners on April 30. Taiwan’s initial group includes nine issuers, among them Cathay United Bank, CTBC Bank and E.SUN Bank. Visa did not disclose an investment amount.

Visa, one of the world’s leading payment networks, derives revenue from payment volumes, cross-border spending and transaction volumes. The 2026 FIFA World Cup is expected to spur travel and card spending. Over the longer term, agentic AI systems capable of independently searching, making decisions and paying could create a new gateway to digital commerce and a new payments market.

On April 28, 2026, Visa reported fiscal second-quarter results for the period ended March 31. Net revenue reached $11.2 billion, up 17% year on year, beating expectations and marking its fastest quarterly growth since 2022. Chief Executive Ryan McInerney said the summer World Cup was expected to boost spending, while the company would continue building an agentic commerce ecosystem.

Agentic commerce allows software to search for, select and purchase products with a user’s authorization, making identity verification, payment authorization and risk controls critical. Visa launched Visa Intelligent Commerce on April 30, 2025, to provide payment APIs to AI platforms. Connect further integrates the connection process, lowering adoption barriers for merchants, agent developers and payment service providers.

Visa unveiled Intelligent Commerce Connect on April 8, 2026. Through a single integration with the Visa Acceptance Platform, businesses can initiate payments, tokenize credentials, set spending controls and perform authentication, with support for APIs from Visa and other card networks. Seven companies, including AWS, Mesh and Payabli, are piloting the service, with a broader rollout planned during 2026. Visa did not disclose pricing or an investment amount.

Payment fraud has evolved from isolated offenses into an organized business with specialized roles and the ability to operate at scale, posing an ongoing threat to global payment networks such as Visa. Blocking suspicious transactions without wrongly declining legitimate payments is critical to consumer trust, merchant operations and financial institutions’ risk costs.

James Mirfin, Visa’s global head of risk and identity solutions, said the company is embedding artificial intelligence throughout the payment process to raise the cost of committing fraud and reduce false positives without adding friction to transactions. The latest report did not disclose a deployment date, investment amount or performance figures. For now, the focus remains on Visa’s broader fraud-prevention strategy.

Visa and Mastercard, whose businesses have long centered on card transactions and fees, are extending Agentic AI into corporate operations and payment back offices. Visa is targeting dispute handling, while Mastercard is serving small and medium-sized businesses that lack full management teams. The initiatives reflect the card networks' shift toward becoming technology service providers.

On March 10, 2026, Mastercard launched Virtual C-Suite, beginning with a virtual CFO that analyzes cash flow and risk. Visa and ServiceNow are advancing a dispute-management system that routes and prioritizes cases and organizes documents. Issuers write off an average of $3.3 million annually and spend more than 360 hours preparing for audits, while Mastercard estimates that each case costs $9.08–$10.32.

Financial scammers are shifting their focus from breaching systems to exploiting victims' trust, fear and sense of urgency. Even as banks and payment providers deploy AI to detect unusual transactions, criminals can still use impersonation and social engineering to persuade victims to authorize payments themselves. Visa says the trend matters because traditional models struggle to determine in real time when seemingly legitimate activity is fraudulent.

Visa recently said AI can serve only as one layer of defense against the new wave of scams and must be combined with transaction-data analysis, intelligence sharing across institutions and expert human investigations. As of July 20, 2026, the reports provided did not disclose the date of a specific case, the amount involved or a prevention rate. The key development is Visa's explicit position that fraud-prevention systems cannot rely solely on automated models.

Although check usage continues to decline in the United States, check fraud remains a major area of financial crime. Visa said check fraud accounted for 30% of U.S. fraud losses in 2024. More significantly, the methods used in such crimes are crossing from paper to digital channels, threatening faster-payment systems and banks’ risk controls.

Visa recently warned that anomalies involving accounts, identities and transactions linked to check fraud have spread to faster digital payments. The company is deploying AI-powered image forensics and behavioral analysis to help banks identify altered checks and suspicious cross-channel transactions. The report did not disclose the actual amount lost or the date when the system became operational.