Mastercard's Agent Pay allows AI agents to perform transactions autonomously, necessitating a shift in payment systems for builders.

Developers who adapt their payment systems to support AI agents will enhance transaction reliability and user satisfaction.
Signal analysis
Mastercard has successfully processed real transactions through AI agents, including purchases for groceries and rides, without any human intervention.
This new capability is operational in Latin America and Hong Kong, showcasing that AI agents can autonomously execute payments using tokenized credentials.
The Agent Pay system is supported by banks and issuers, marking a significant move towards agent-driven commerce.
As payments transition from UI-driven flows to API-driven systems, the architecture supporting those systems becomes critical.
AI agents operate without user context, meaning that any misconfigured payment method can lead to failed transactions.
This shift demands that builders ensure their payment infrastructure is robust, adaptable, and supports multiple payment methods across regions.
The coexistence of AI agents and human users presents a dual challenge: systems must cater to both groups effectively.
Human users require an intuitive checkout experience, while AI agents need a reliable backend that can handle diverse payment methods.
If either side is neglected, it could result in lost transactions or frustrated users.
Builders need to adopt a business-level control over payment methods to manage options across the entire system rather than on a per-session basis.
The latest Dodo Payments v1.93.0 release highlights this need with features like centralized payment method management and enhanced support for regional payment options.
It is crucial to build trust in your payment systems through reliable authentication and predictable behaviors.
Watch the breakdown
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Best use cases
Open the scenarios below to see where this shift creates the clearest practical advantage.
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