India’s digital payments ecosystem could be entering a new phase as artificial intelligence begins moving from helping users make decisions to actually carrying out transactions on their behalf.
India is preparing a framework for agentic payments on UPI. The framework could allow AI agents to make certain small digital payments without individual user approval. These payments would operate under predefined instructions and permissions.
The move could mark an important step toward agentic payments. This model allows AI systems to complete financial tasks on behalf of users.
The move is significant because UPI has already become one of the world’s largest real-time retail payment systems. In August 2026 alone, UPI processed around 24.51 billion transactions worth approximately ₹29.82 trillion, according to data cited by Reuters.
What Are Agentic Payments?
Traditional digital payments require a person to initiate and authorize a transaction. Even when payment apps make the process extremely quick, the user generally remains directly involved.
Agentic payments introduce another layer.
Instead of asking a person to approve every transaction, an AI agent could be given permission to complete specific purchases or financial actions according to rules established by the user.
For example, a consumer could instruct an AI assistant to automatically purchase household supplies when stocks run low, pay a recurring bill below a certain amount or complete a routine purchase from an approved merchant.
The important difference is that the AI is not simply recommending an action. It can potentially execute the transaction within the limits given to it.
India Is Building Around UPI
India has a major advantage in developing this model: an established digital payments infrastructure.
UPI already connects banks, payment applications, merchants and consumers through a common real-time payment network. That makes it a natural foundation for experimenting with AI-driven transactions.
According to Reuters, the proposed system is expected to use mechanisms including UPI Circle and Reserve Pay. These technologies can support delegated access and allow funds to be reserved or controlled for specific purposes.
The planned framework is also expected to include safeguards such as spending limits, identity verification, rule-based payments and provisions for determining liability.
That is important because giving an AI agent access to money creates a very different risk profile from simply allowing an AI assistant to answer questions.
Routine Purchases Could Come First
The initial focus is expected to be on relatively low-value and routine transactions.
That approach makes sense. Consumers and regulators are unlikely to immediately hand AI systems unrestricted access to bank accounts.
Instead, agentic payments can begin with tightly controlled scenarios.
A user could potentially set a maximum transaction value, specify approved merchants, define how often payments can occur and establish which types of purchases an AI agent is allowed to make.
For example, an AI agent could be authorized to spend up to a fixed amount on recurring household purchases while being prevented from making larger financial commitments.
Over time, more sophisticated use cases could emerge.
Why This Matters for Fintech Companies
Agentic payments could create a new layer of competition across the fintech industry.
Banks, payment companies, merchants and technology providers may all need to rethink how payments work when AI becomes an intermediary between consumers and businesses.
Today, a customer might open an app, search for a product, compare prices, select a merchant and complete a UPI transaction.
In an agentic commerce environment, an AI assistant could potentially handle several of those steps.
The customer might simply provide an objective such as finding a product below a certain price or completing a recurring purchase. The AI could then identify an option and execute the transaction according to the user’s rules.
This could make payments more seamless while also changing how merchants compete for customers.
Security Will Be Critical
Convenience alone will not determine whether agentic payments succeed.
Trust will be equally important.
An AI system that can initiate transactions must be able to authenticate the user, understand its permissions and operate within clearly defined financial boundaries.
A compromised AI agent could potentially create a new pathway for financial fraud. Incorrect instructions, manipulated data or unauthorized access could also result in unwanted payments.
That is why spending limits, identity checks, transaction rules and liability frameworks are central to the proposed approach.
The goal is not simply to make AI capable of spending money. It is to make AI capable of spending money within a controlled environment.
The Bigger Shift: From Digital Payments to AI-Driven Commerce
Agentic payments could ultimately change more than the payment process itself.
They could become part of a broader shift toward AI-driven commerce, where consumers increasingly delegate routine purchasing decisions to intelligent software.
India has already demonstrated how quickly digital payment behavior can scale when the underlying infrastructure is convenient and widely accessible. The next stage could involve making those transactions increasingly autonomous.
Global payment companies are also exploring similar developments, indicating that agentic commerce is not limited to India. Reuters notes that companies including Mastercard, Visa and Pine Labs are working on related technologies in the Indian market.
What Comes Next?
The success of agentic payments will depend on how effectively the ecosystem balances convenience, autonomy and control.
For consumers, the attraction is straightforward: fewer repetitive payment tasks and greater automation.
Businesses could benefit from a new route for customers to discover products and complete purchases through AI agents.
Meanwhile, banks and fintech companies will need to build infrastructure that supports autonomous transactions while maintaining security, transparency, and consumer protection.
India’s proposed framework could therefore become an important experiment in the future of digital finance.
UPI helped make instant digital payments a mainstream part of everyday life. The next evolution could be allowing AI agents to handle some of those payments on behalf of users.
If the technology, regulations and safeguards develop together, agentic payments could turn UPI from a system people actively use into infrastructure that increasingly works on their behalf.
