The move comes as the National Payments Corporation of India develops protocols for identifying and authorising AI agents on the Unified Payments Interface, creating infrastructure that could let software complete selected payments under rules and limits set by customers.
Super. money founder and chief executive Prakash Sikaria has said the emerging architecture could allow agents representing merchants and consumers to interact directly, reducing the number of steps between product discovery and payment. The company is seeking to use that shift to extend its role beyond routine UPI transfers into commerce, credit and investment-related transactions.
Agentic payments differ from conventional chatbots because the software can act after interpreting an instruction rather than merely provide information. A user could, for example, ask an agent to find an eligible product within a budget or execute a purchase when specified conditions are met, subject to the permissions built into the payment framework.
NPCI is working on a registry to verify and monitor AI agents conducting transactions through UPI. Its proposed Unified Agent Protocol is expected to support controls including spending limits, identity checks and audit trails. The initial focus is on small, frequent purchases, while more complex conditional transactions could follow as safeguards and liability rules develop.
The payments body has already extended UPI Circle, its delegated-payments framework, to software profiles including AI profiles for limited users. Under the broader system, account holders can delegate payment authority within predefined limits while retaining visibility over transactions. Reserve Pay, another UPI mechanism, can block funds for authorised payments that may be debited later.
Super. money’s push builds on products added this year as it tries to broaden engagement beyond person-to-person and merchant payments. Its splitStore service, introduced in July, lets eligible customers browse products listed on Flipkart and either pay in full or use a pay-later facility provided by regulated lending partners.
The company’s terms state that Flipkart and its sellers remain responsible for the underlying sale, fulfilment, invoicing, cancellations and returns, while Super. money provides the shopping and credit interface. The platform does not hold inventory or set product prices.
Super. money has also added digital gold. Its customer-support documentation describes purchases, sales and reconciliation procedures involving a vault partner, while the app has promoted cashback on gold purchases. The service includes a post-purchase selling lock-in and applies the tax and market spread associated with digital-gold transactions.
Those products give the company potential use cases for agents that can move from a customer instruction to a transaction without requiring the user to navigate several separate screens. The central challenge is ensuring that delegated authority remains narrow enough to prevent unwanted or mistaken purchases.
That concern is shaping the wider industry’s approach. Razorpay, NPCI and OpenAI have been testing agentic payments using UPI Reserve Pay, with an earlier pilot allowing users to shop through a conversational AI interface and complete purchases from participating merchants after confirmation. Razorpay says its system is designed to support pre-authorised transactions within customer-approved spending limits.
Competition is intensifying as payments companies decide how extensively to integrate AI. PhonePe co-founder Rahul Chari has cautioned that not every existing payments experience becomes better merely by adding artificial intelligence, signalling a more selective approach than platforms seeking to make autonomous agents central to commerce.
Super. money remains smaller than the dominant UPI applications, giving it an incentive to pursue newer transaction categories rather than compete solely on basic payments. Its app combines UPI with credit, deposits, bill payments, shopping and other financial products, while the company has used cashback and embedded credit to encourage repeat usage.
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