Visa and AI: A Revolution in Banking Transactions

Visa and the Evolution of Payment Systems with AI

Traditionally, financial transactions rely on a model where a person decides to make a purchase, and a bank or card network processes it. However, this paradigm is changing. Visa is currently exploring how artificial intelligence (AI) agents can initiate payments, which could transform the banking sector. This shift is illustrated by Visa's efforts to test this new approach.

Visa recently launched its "Agentic Ready" program in Europe, aimed at exploring how financial systems can handle AI-initiated transactions. This project involves collaboration with banks such as Commerzbank and DZ Bank. The goal is to prepare the current infrastructure for a future where software agents could search for products, make purchasing decisions, and finalize transactions on behalf of users.

According to information published by Visa and reported by The Paypers, the program focuses on securing transactions where AI acts as the initiator. Rather than requiring human confirmation for each purchase, an AI agent could execute this task after receiving specific instructions or rules.

The Genesis of AI-Initiated Transactions

Current payment systems are based on human identity and intent. Each card transaction requires verification that the user has authorized the purchase. With the introduction of AI agents to initiate transactions, banks will need to develop new methods to confirm identity and intent at a systemic level. This includes determining how an agent can prove it is acting on behalf of a user and what degree of autonomy it can have.

In the model proposed by Visa, software agents could manage routine or recurring purchases with minimal human intervention, following rules established by the user. For example, a system could monitor stock levels and compare prices, then finalize a purchase when certain conditions are met. Reports from Die Welt and Investing.com highlight that Visa views this change as significant as the initial shift to online payments, which forced banks to adapt to a new type of transactional flow.

Ensuring Control and Compliance

The banks participating in the initial trials of this technology are testing how these concepts work in practice. Commerzbank and DZ Bank are exploring how to integrate AI agents into existing systems without violating compliance rules. This includes checks related to fraud, audit trails, and customer consent. These areas are heavily regulated, meaning any change in how transactions are initiated must comply with supervisory standards.

A report from RepRisk revealed that banks are already facing increasing and costly issues related to AI. These incidents can lead to significant financial losses, reaching millions of dollars.

Visa is focusing on infrastructure rather than consumer-facing tools. The company is working on how payment networks should operate when the "customer" is software. This includes defining how agents are authenticated and how transactions are approved, as well as managing disputes in case of issues.

AI in Business Purchases

In large organizations, the procurement process often involves multiple approval steps. AI agents could streamline this process by managing routine purchases within defined limits. This could reduce manual work but also requires companies to establish clear rules about what agents are allowed to do. Without this, the risk of errors or abuse increases.

Large institutions are investing in AI to automate administrative tasks and reduce costs. Some are also reorganizing their teams to focus more on data and AI strategy. Regulators are closely monitoring the use of AI in decision-making, particularly in areas like credit and fraud detection.

These developments indicate that payments could be one of the first areas where AI agents could operate with greater autonomy. Banks will still need to establish rules, monitor activity, and manage exceptions. However, the everyday act of initiating a transaction could, in some cases, require less direct human intervention.

Visa's current phase is focused on testing and system design. As AI systems take on more responsibilities, the financial infrastructure will need to adapt to a new type of user, one that does not hold a card but can still make a purchase.