Visa, Mastercard And Ant International Unite On AI Agent Trust Framework

Visa, Mastercard, and Ant International have officially announced a collaborative initiative to develop common standards for identifying and verifying artificial intelligence agents that make purchases on behalf of consumers. The core of this effort is a "Know-Your-Agent" interoperability framework, designed to allow card networks, digital wallets, and online marketplaces to recognize trusted AI agents across different payment ecosystems. This move marks a significant shift in the digital payments landscape, transitioning AI from a mere recommendation tool into a fully autonomous transaction assistant capable of executing end-to-end commerce.

The framework is built upon the unification of existing proprietary systems: Visa's Trusted Agent Protocol, Mastercard's Verifiable Intent, and Ant International's Agentic Mobile Protocol. By aligning these distinct systems, the companies aim to significantly reduce integration costs for developers and hasten the rollout of new agentic services. The collaboration operates through BuildFin.ai, a platform convened by the Monetary Authority of Singapore to foster AI solutions in financial services. This unified approach seeks to create a more robust and transparent infrastructure for automated commerce, addressing the growing need for secure, standardized mechanisms as AI agents evolve from providing suggestions to completing purchases autonomously.

What Does The Know-Your-Agent Framework Entail?

The newly established framework is designed to ensure that AI agents operating within payment networks are verified, trusted, and operating within strict user-defined boundaries. The primary challenge in agentic commerce has been the lack of a standardized identity layer that allows an agent registered with one provider to seamlessly transact across different payment rails. The "Know-Your-Agent" system solves this by providing a unified structure for agent identity, user authorization, and payment security. For instance, an agent registered with Ant International's network can now operate across Visa and Mastercard networks without the need for redundant registration or verification processes.

Security and user control remain central to the framework's design. The system introduces mechanisms such as AgentSafePay, which provides a money-back guarantee for merchants against risks specific to autonomous agent execution, such as large language model hallucinations or intent deviation. Users retain full control by setting spending limits, defining authorization scopes, and revoking permissions at any time. The framework also supports high-frequency, nano-grade agent-to-agent settlement mechanisms, capable of processing micro-transactions as small as fractions of a cent. This technical capability is essential for supporting the emerging agentic economy, where AI agents may need to execute thousands of small, automated transactions daily.

Why Is Merchant Onboarding Still A Major Hurdle?

Despite the high-level collaboration between the major payment networks, a significant disconnect remains at the merchant level. The framework lacks a unified merchant-side integration standard, shared software development kit, or certification path. Instead, three distinct frameworks are currently competing for the merchant verification layer, each with different integration mechanics. Visa's protocol relies on HTTP-layer signature verification, Mastercard and Google's Verifiable Intent employs SD-JWT delegation chains, and other players utilize REST API integrations alongside existing fraud infrastructure. This fragmentation imposes a substantial "fragmentation tax" on merchants trying to participate in the agentic economy.

The financial implications of this technical complexity are severe. Integration costs scale aggressively depending on a merchant's existing infrastructure. While Shopify storefronts may face near-zero capital expenditure as the platform handles the integration, merchants using Stripe with custom builds face costs ranging from $5,000 to $50,000. Independent merchants with custom stacks could spend between $50,000 and $200,000, while enterprise-level custom payment service providers may incur costs of $150,000 to $500,000 or more. The pressure to adopt multiple protocols is real; dual-protocol merchants currently capture approximately 40% more agentic traffic than single-protocol merchants, forcing businesses to build against multiple vendor-specific APIs to remain visible.

How Does Consumer Trust Impact Agentic Commerce Adoption?

The rapid expansion of agentic commerce is occurring against a backdrop of significant consumer hesitation. While the infrastructure is being built to support autonomous transactions, the human element remains a critical bottleneck. A June 2026 survey by Checkout.com found that 89% of merchants are actively preparing for agentic commerce, yet only 3% of transactions in the US and UK currently involve AI agents. Trust in AI recommendations is low, with Product.ai's April 2026 report indicating that only 14% of US online shoppers trust AI recommendations without human verification. Furthermore, 42% of consumers refuse to trust AI for purchases over $25, highlighting a clear threshold for autonomous financial delegation.

This gap between merchant readiness and consumer willingness to adopt creates a challenging environment for early-stage agentic commerce. AI tools currently rank sixth or seventh among consumer information sources, carrying a trust score of just 4.51 out of 10. Industry leaders acknowledge that trust is foundational to this transformation. Ant International's chief innovation officer, Jiang-Ming Yang, has emphasized that ensuring user safety is critical to building the necessary trust for widespread adoption. Similarly, Mastercard's chief digital officer, Pablo Fourez, noted that interoperability across Know-Your-Agent frameworks is essential for scaling agentic commerce, but only if users feel confident in the security of the delegated tasks.

The industry is now focused on bridging the gap between technological capability and consumer confidence. As AI agents transition from making recommendations to completing transactions, the ability to verify agent identity and monitor behavior in real-time will determine the speed of market adoption. While the collaborative efforts of Visa, Mastercard, and Ant International provide a crucial foundation, the ultimate success of the agentic economy will depend on overcoming merchant-side integration costs and rebuilding consumer trust in autonomous financial decision-making.

How Fast Will AI Agents Transform Global Commerce?

The potential scale of agentic commerce is massive, with McKinsey estimating that AI agents could handle between $3 trillion and $5 trillion in global consumer commerce by 2030. This projection is driven by the increasing sophistication of AI models and the growing prevalence of digital payment ecosystems that can support automated transactions. The global market for digital wallets is already dominant, accounting for 56% of global e-commerce value in 2025. The new standards aim to create interoperability between these distinct systems, allowing for seamless cross-border transactions and expanding the reach of agentic services into developing markets.

Early adoption is already visible in specific regions and use cases. Macao’s leading e-wallet, MPay, has integrated Ant International's Agentic Mobile Protocol, positioning itself as an early mover in the sector. This integration allows AI agents to invoke MPay to complete payments after explicit user authorization, transforming the consumer journey from manual selection to agentic commerce. By connecting AI agents with existing mobile payment capabilities, MPay aims to streamline the purchase journey for travelers and local consumers alike. As more wallets and acquiring partners like Adyen and Worldline adopt these protocols, the infrastructure for a fully autonomous digital economy will continue to solidify.