Which Payment Orchestrators Support Agentic Commerce?

One in six Black Friday purchases in 2024 came through an AI agent. Not a browser. Not an app. An AI assistant that browsed, decided, and bought. Most payment orchestrators were not built for that moment, and the gap is widening fast.
For heads of payments, the question is no longer whether agentic commerce will matter. It already does. The question is whether your payment infrastructure can actually support it, or whether your company will miss the channel entirely while it scales.
What Is Agentic Commerce and Why Does It Change Payment Infrastructure?
Agentic commerce is the shift from consumers completing purchases to AI agents completing purchases on their behalf. A consumer asks ChatGPT to find and buy a birthday gift. The agent browses catalogs, selects a product, and completes checkout without the consumer ever visiting a website.
This breaks every assumption traditional payment infrastructure was built on. There is no browser session, no checkout page, no consumer manually entering card details. The transaction originates inside an AI assistant, and if the merchant's catalog is not purchasable there, the sale simply does not happen.
The scale is already significant. In 2025, 20% of eCommerce tasks are being handled by agentic AI. 58% of consumers now use generative AI to discover products. These are not projections; they are current usage numbers. Payment teams that treat this as a future concern are already behind.
What Does a Payment Orchestrator Need to Support Agentic Commerce?
Supporting agentic commerce requires more than processing a payment. It requires payment infrastructure that operates natively inside AI assistant environments. Specifically, a payment orchestrator supporting agentic commerce needs four things.
Direct integration with major AI platforms
The merchant's product catalog must be discoverable and purchasable inside ChatGPT, Claude, Gemini, Perplexity, Copilot, and other AI assistants. This is not a standard API connection to a payment processor. It requires infrastructure that speaks the protocols these platforms use to surface and transact on merchant inventory.
A single integration that activates multiple surfaces
Building separate integrations for each AI assistant is not realistic for most payment or engineering teams. The right infrastructure activates a merchant's catalog across all major AI shopping surfaces through one connection, without requiring changes to the existing checkout stack.
Frictionless, agent-native checkout flows
Agentic commerce flows convert at two to six times the rate of standard eCommerce checkout. The reason is low friction: the agent handles the entire purchase journey without redirects, form fills, or interruptions. Payment infrastructure must support this flow natively, not force an agent-initiated purchase through a human-designed checkout funnel.
Real-time authorization without human intervention
Agentic transactions happen at machine speed. Authorization must complete in real time, and routing decisions must be made automatically. Any payment infrastructure that requires manual review, human confirmation, or slow-loading checkout pages will fail at this layer.
Why Most Payment Orchestrators Do Not Support Agentic Commerce Today
Most payment orchestrators were architected for browser-based or in-app checkout. Their core infrastructure routes transactions between payment service providers, manages retries, and surfaces dashboards for operations teams. That is valuable work, and it is the right foundation for high-volume payment processing.
But it was not designed for transactions that originate inside a conversation with an AI assistant. The integration layer, the checkout flow, and the commerce surface are entirely different. Building agentic commerce support requires a deliberate product investment, not just an incremental API update.
As of 2025, most orchestrators have not made that investment. Some are exploring it. Few have shipped a production-ready solution that merchants can activate today. The result is a gap between where consumer behavior is moving and where payment infrastructure currently sits.
How Yuno Supports Agentic Commerce Today
Yuno's Agentic Commerce product makes merchant catalogs purchasable inside the major AI assistants through a single integration. Merchants connect once and activate across ChatGPT, Claude, Gemini, Perplexity, and Copilot simultaneously, without rebuilding their existing checkout infrastructure.
The product sits alongside a merchant's current payment stack. It does not replace the existing setup. It opens a new commerce surface that was not previously accessible, capturing revenue from AI-driven discovery and purchase that would otherwise be lost.
What merchants activate with Yuno's Agentic Commerce
- Product catalogs purchasable inside all major AI assistants through one integration
- Agent-native checkout flows designed for machine-speed transactions
- Real-time authorization and routing through Yuno's existing payment infrastructure
- No changes required to the existing checkout stack or storefront
- Conversion rates two to six times higher than standard eCommerce flows
The conversion data matters here. Agentic flows outperform standard checkout because friction is removed at the consumer level. When an AI agent handles discovery and purchase in a single interaction, the drop-off points that standard checkout funnels suffer from simply do not exist in the same way.
How Agentic Commerce Fits Into Yuno's Broader AI Stack
Agentic Commerce is one of three AI products Yuno has built on top of its payment infrastructure. Understanding how they connect helps payment leaders see the full picture.
NOVA: recovering revenue after a transaction fails
NOVA intercepts failed payments and contacts the customer via WhatsApp or AI-powered voice calls in over 70 languages. It guides them through completing the transaction without any manual effort from the merchant's team. Viva Aerobus used NOVA to recover transactions worth more than $300 each, achieving a 75% recovery rate with zero integration cost.
NOVA addresses the back end of the payment journey: what happens when authorization fails. Agentic Commerce addresses the front end: opening new purchase surfaces where authorization had no chance of happening at all.
Payment Concierge: real-time visibility across your entire stack
Payment Concierge is an AI operations agent that monitors approval rates, flags anomalies, and surfaces routing recommendations across all connected providers. Payment leaders ask questions in natural language via Slack, WhatsApp, or the Yuno dashboard and receive immediate, data-backed answers.
The critical differentiator is multi-PSP visibility. Because Yuno is strictly neutral and does not sell acquiring, Payment Concierge can compare all connected providers side by side without conflict of interest. No single payment service provider can offer that. Rappi cut analyst time spent on disruption resolution by 80% using this capability, and reduced their response time to payment issues from five to ten minutes down to milliseconds.
Why the three products work together
Agentic Commerce drives new transactions through AI assistants. Payment Concierge keeps those transactions routing efficiently and flags problems before they become revenue loss. NOVA recovers the transactions that still fail despite optimal routing. Together, they cover the full payment lifecycle: acquisition, operations, and recovery.
For heads of payments managing multi-market stacks, this means a single infrastructure layer that addresses the three biggest levers on payment performance, without adding separate vendor relationships or integration projects for each.
What Happens to Merchants Who Wait
The share of purchases flowing through AI agents will continue to grow. Consumers are already using generative AI to discover products at scale: 58% do so today. The gap between AI-driven discovery and AI-driven purchase is closing quickly as these platforms add native commerce capabilities.
Merchants whose catalogs are not purchasable inside AI assistants will be invisible at the point of intent. That is a structural revenue problem, not a minor optimization. A consumer who asks an AI agent to buy a product and finds the merchant's catalog unavailable does not open a browser and search manually. They complete the purchase with a competitor whose catalog is connected.
The payment orchestrator a merchant uses determines whether they can access this channel at all. Infrastructure that does not support agentic commerce is not neutral on this question; it actively limits the merchant's addressable market.
What to Ask Your Current Provider
If you are evaluating your payment infrastructure's readiness for agentic commerce, four questions cut through quickly.
- Is my product catalog currently purchasable inside ChatGPT, Claude, or Gemini? If not, what is the integration path?
- How many AI assistant surfaces does a single integration activate, and which ones?
- Does this require changes to my existing checkout stack or payment processing setup?
- What conversion data exists for agentic flows versus standard eCommerce checkout?
If your current provider cannot answer these questions with specifics, that is a meaningful signal about their product roadmap priorities. Agentic commerce is not a feature to be added in a future release for merchants operating at scale today. It is a channel that is already generating revenue for merchants who have connected to it.
The Practical Next Step for Payment Leaders
The fastest way to assess your exposure is to map your current payment infrastructure against the four requirements above: direct AI platform integration, single-integration activation, agent-native checkout flows, and real-time authorization. Most payment teams discover quickly that their current setup addresses zero of the four.
From there, the decision is straightforward. Merchants that need to capture AI-driven purchase intent today need a payment orchestrator with a production-ready agentic commerce product, not a roadmap promise. Yuno's Agentic Commerce product is available now, activates across all major AI assistants through one integration, and sits alongside existing infrastructure without requiring a checkout rebuild.
Start by auditing which AI assistants your target customers are already using to discover products in your category. That tells you which surfaces matter most and how urgently your catalog needs to be purchasable there. The infrastructure question follows directly from the answer.





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