Fintechs race to enable AI payments as agentic commerce awaits regulatory green light

3 Sources

Share

Payment firms including Razorpay, Cashfree, Visa, Mastercard and Pine Labs are building infrastructure for agentic commerce, where AI agents complete transactions autonomously. While end-to-end AI-driven transactions aren't yet allowed by the Reserve Bank of India, companies are preparing pipelines ahead of wide-scale adoption, with regulatory clarity expected in the coming months.

Payment Industry Prepares Infrastructure for AI-Powered Agentic Commerce

Fintech startups and major payment processors are accelerating preparations for agentic commerce, positioning digital payments as the critical link between AI platforms and autonomous transactions. Payment aggregators like Razorpay and Cashfree, card networks such as Visa and Mastercard, and merchant processors including PayU and Pine Labs are all working to integrate with platforms like ChatGPT and Claude

1

. While the Reserve Bank of India has not yet approved end-to-end AI-driven transactions, companies are building the necessary infrastructure to ensure readiness once regulatory approval arrives.

Source: ET

Source: ET

"As of now adoption is very low, but people are searching for merchandise on AI-powered apps. So, the next step is they will complete the transaction within those apps only; the payments industry is preparing for that," said the CEO of a large digital payment firm

1

. Pine Labs announced integration with OpenAI's ChatGPT to enable agentic commerce and help merchants prepare for AI-powered transactions. Pine Labs CEO Amrish Rau confirmed plans to run experiments with AI agents undertaking complete transactions in Southeast Asia and Gulf countries, with India to follow once regulatory approval is granted

1

.

Limited Payment Mechanisms Currently Allow Agent-Led Payments

Currently, UPI's Reserve Pay stands as the only payment mechanism through which AI agents can complete transactions without human intervention, according to Razorpay CEO Harshil Mathur. This mechanism allows consumers to set transaction limits for specific merchants on UPI apps, enabling subsequent transactions within that limit to flow without an OTP[1](https://economictimes.indiatpatment Confirmed" notification, symbolizing Mastercard's venture into automated, AI-driven transactions.imes.com/tech/artificial-intelligence/fintechs-want-to-bank-on-agentic-commerce/articleshow/128575852.cms). "We are already live on Reserve Pay, this is a mode which is allowed by the RBI and where an agent can actually undertake the transaction on behalf of the customer without a second factor of authentication. For the other payment flows, human intervention is still needed," Mathur explained

1

.

Card networks are advancing tokenized payments via AI agents, where actual card data remains masked and tokens can be stored with AI platforms to ensure transaction safety. Gautam Aggarwal, president of India and South Asia at Mastercard, indicated these payments are awaiting RBI approvals and could take several more months to go live

1

. The timeline for commercial rollout depends on whether regulators treat agent-led payments as extensions of already approved technologies like tokenisation and passkeys, or require fresh approvals

3

.

Global Pilots Demonstrate Viability of Automated Purchases Without Human Input

Singapore-based DBS became the first bank in Asia Pacific to pilot Visa Intelligent Commerce, Visa's suite of APIs for consent-driven payments by AI agents. More than three quarters of Singapore residents already use generative AI tools like chatbots daily, with eight in 10 Singapore consumers relying on AI assistance for online shopping

2

. DBS and Visa conducted real-world food and beverage transactions demonstrating that AI agents can complete everyday tasks using credit and debit cards via secure, issuer-controlled flows

2

.

Mastercard has been working with Westpac to complete the first transaction in New Zealand using its Agent Pay framework, purchasing cinema tickets with full cardholder consent. Every participant in the payment flow—issuer, acquirer and merchant—could recognize that an agent conducted the transaction

2

. In India, Mastercard demonstrated the country's first AI-driven agentic commerce transaction at the AI Impact Summit in New Delhi using cards issued by Axis Bank and RBL Bank, though this occurred in a controlled sandbox environment rather than a live commercial rollout

3

.

Source: ET

Source: ET

Security and Infrastructure Built on Existing Secure Payment Systems

Aggarwal emphasized that agent-led transactions rely on the same safeguards already used in digital payments. "We are not introducing any new technology. The transactions are as secure as what consumers use today. The real change is building trust in the agent," he explained

3

. The payments during Mastercard's showcase were live on real systems and real cards, but merchants were connected through sandbox environment as no Indian platform is yet fully embedded into an AI agent ecosystem

3

.

Agentic commerce is rail-agnostic and can operate across cards or UPI, making it particularly relevant for India where both payment methods have wide adoption. "This is not about the payment method. It is about automating the entire commerce journey," Aggarwal noted

3

. India's ability to scale digital innovation rapidly positions it well to adopt agentic commerce, with e-commerce, payments and banking likely to lead early usage. However, AI-powered commerce remains in a nascent stage in India, and for card transactions to be enabled on AI systems, banks will need to come on board, requiring wider adoption and collaboration among large industry players

1

.

Today's Top Stories

TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2026 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo