Visa taps decades of AI for payments
Visa has relied on artificial intelligence in its payment systems for over 30 years, embedding the technology into its core infrastructure before it gained widespread attention.
Their method has focused on security, reliability, and stability rather than quick experimentation. Instead of creating entirely new systems, Visa incorporated AI into existing frameworks, ensuring transactions remain secure even as they become more automated.
AI as the foundation, not the experiment
Mandy Lamb, Head of Value Added Services at Visa Europe, said the company’s long experience with AI allows it to move confidently into commerce where systems act on behalf of users without direct input.
“Many recognize Visa for cards and payments, but that’s only part of what we do,” Lamb said. “Visa operates the technology that moves money securely and reliably worldwide. On top of that, we use technology to help financial institutions and businesses adapt as commerce becomes more digital.”
The foundation includes fraud prevention, data analytics, and acceptance solutions—tools that assist clients in keeping up with these changes. Lamb’s team concentrates on modernizing operations to match the pace of digital shifts.
Their history with AI, particularly in fraud detection and risk management, has shaped a disciplined approach. Visa’s systems handle billions of transactions in real time, balancing speed, accuracy, and security. That experience has reinforced a focus on control, transparency, and consistent performance—qualities now essential as AI takes a more active role in payments.
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The strategy treats AI as an evolution of existing capabilities. The goal is to expand what already works rather than rebuild it.
Trust as the non-negotiable ingredient
Trust has always determined whether new payment technologies succeed. E-commerce, contactless payments, and mobile wallets only became widely used once consumers believed the systems were safe. The same applies to commerce where AI makes decisions and executes transactions on behalf of users.
“Payments networks provide the structure for safe transactions, with user consent at the core,” Lamb said. “In an agentic setting, that structure becomes more visible because actions are carried out for the user.”
Visa’s Intelligent Commerce initiative extends existing payment rails—like tokenization and authentication—to keep transactions secure.
These protections adapt longstanding security mechanisms, ensuring continuity as capabilities grow. “Visa’s systems verify that actions match authorization and apply controls at the network level,” Lamb said. “The same fraud detection and risk systems remain in place. Transactions are evaluated like any other.”
This consistency is critical because the stakes are high. When AI initiates payments without direct oversight, the infrastructure must ensure every transaction reflects the user’s intent. Safeguards at every layer—from authentication to fraud detection—prevent autonomy from compromising security.
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The move toward commerce where systems act on behalf of users reflects real-world testing, particularly in Europe, where the payments ecosystem’s complexity provides a useful test case.
Lamb stressed that accessibility drives adoption. Businesses shouldn’t need to rebuild their systems to participate. Intelligent Commerce Connect, for instance, offers a single integration point, reducing barriers. “That helps the ecosystem progress at a steady pace,” she said.
Early examples are appearing, especially in product discovery and repeat purchases. But Lamb noted that widespread adoption will take time. “We don’t expect this to arrive all at once,” she said. “Progress in this area will likely be gradual.”
For Visa, the priority remains enabling scale while maintaining the trust that has defined payments for decades. The company provides the underlying infrastructure allowing commerce to grow securely. As Lamb put it: “Visa enables AI agents to connect to payment systems, authenticate transactions, and operate within defined controls.”
The technology may be new, but the principles remain unchanged. Security, reliability, and user consent have always been central to payments. This represents the next step, built on a foundation that has already proven effective.
Hidden tracking methods have become a growing concern as digital transactions expand. Users often remain unaware of how their data is collected and used.
