Wednesday, April 15, 2026

Razorpay announces launch of Agent Studio

The Agent Studio also has a “Build Your Agent” feature, which enables businesses to create their own AI agents in plain English without needing to code

Razorpay announced the launch of the “World’s First Agent Studio”, built using the Claude Agent SDK from Anthropic, at Razorpay’s flagship event, FTX’2026, in India today.

Razorpay Agent Studio is a B2B agent marketplace and builder platform for payments and business banking. It is said to function similarly to a team of AI specialists, with each agent purpose-built to handle a specific commerce challenge, ranging from recovering failed payments to settling disputes before escalation.

For the initial rollout, Razorpay has introduced production-ready agents: Abandoned Cart Conversion Agent, Dispute Responder Agent, Subscription Recovery Agent, and Cashflow Forecaster Agent. Harshil Mathur, co-founder and CEO of Razorpay, shared.

With the launch of the world’s first Agent Studio for payments, we’re enabling companies to deploy AI agents that can understand and monitor their revenue flows, resolve payment issues, and unlock insights across billions of transactions in real time, he stated.

The Agent Studio also has a “Build Your Agent” feature, which enables businesses to create their own AI agents in plain English without needing to code.

Businesses can describe what they want the agent to do, choose the systems it can access, and set a few rules. From there, the agent is created instantly and starts handling the tasks automatically.

The company also introduced the Razorpay Agentic Experience Platform, an AI-native layer developed with Claude. It is designed to make interactions with Razorpay as seamless as having a conversation. The platform introduces three capabilities: Agentic Onboarding, Agentic Dashboard and Agentic Integration.

Irina Ghose, Managing Director of Anthropic India, added: Razorpay’s work with Claude shows how AI agents can address real commerce challenges – recovering revenue, resolving disputes, and predicting cash flow. It’s a great example of what AI can do when it’s embedded into the operating fabric of business.

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