Pine Labs is developing infrastructure that allows AI agents to discover products, interact with merchants, and complete transactions.
Its Pine Labs Payment Protocol (P3P) provides an HTTP-native framework for autonomous payments.
The system uses consent-based authorization and defined spending controls.
Digital payments are entering a new phase with the rise of agentic AI. AI agents can discover products, compare options, and complete transactions. Pine Labs is developing payment infrastructure for this emerging model. Its Pine Labs Payment Protocol, or P3P, enables autonomous agent payments.
The system is designed around user consent and predefined spending controls. This could change how consumers interact with merchants and payment systems. Instead of manually completing every checkout, users could delegate selected tasks.
Traditional digital payments require users to take action at checkout. They select products, enter details, and approve transactions. Agentic commerce changes that sequence. An AI agent can understand a request and act on the user’s behalf.
For example, a user could ask an agent to find a product. The agent could compare prices and available options. It could then complete the purchase within approved limits. Pine Labs describes this as a shift toward AI-native commerce. Its platform connects product discovery, checkout, payment, and post-purchase experiences.
The change is important since payment becomes part of an AI conversation. Users may not need to switch between multiple apps during the process.
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Pine Labs launched its Pine Labs Payment Protocol, or P3P, in June 2026. The company says it enables AI agents to complete UPI payments autonomously. P3P uses a consent-based mandate model. Users can define how agents may spend money on their behalf.
The protocol supports payment authorization, transaction processing, and receipt exchange. Payment tokens are scoped to specific resources, amounts, and expiration periods. P3P currently supports UPI ReservePay and cards. Pine Labs lists additional payment methods on its roadmap. This approach combines automation with user-defined controls.
Autonomous payments create new security questions. An AI agent needs permission to perform actions without constant approval. P3P therefore uses bounded authorization. Transactions can be limited by specific amounts and resources. The protocol also provides verifiable transaction receipts.
According to Pine Labs, these receipts can support audits and dispute resolution. Real-time transaction status also provides visibility into payment activity. The broader payments industry is exploring similar safeguards.
India is also developing an agentic payment framework for UPI. Reuters reported that NPCI is working on mechanisms involving spending limits and identity checks. An AI agent registry is also being developed for transaction verification. These developments show that trust will remain critical.
Agentic commerce can affect merchants as much as consumers. Businesses may need their product information to work with AI systems. Pine Labs says merchants can make catalogs and inventory accessible to AI agents. Its Agentic Commerce Suite also supports conversational discovery and embedded checkout.
This could create a discovery channel for businesses. Customers may find products through AI assistants instead of traditional websites. Pine Labs and Google Cloud announced a collaboration in September 2026. The partnership focuses on helping Indian merchants participate in agentic commerce. For smaller businesses, easier AI integration could become increasingly important.
Agentic AI can also connect payments with user preferences and financial choices. Instead of simply processing transactions, agents could help evaluate available options. Pine Labs describes its platform as supporting affordability decisions across EMIs and pay-later options. It also highlights agentic bill payments and other automated financial workflows.
This could make payment experiences more contextual. An agent might identify suitable payment options based on user instructions. However, automated financial decisions require strong safeguards. Clear permissions and spending boundaries will remain essential.
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Agentic AI could gradually make payments a background process. Users may increasingly describe what they want instead of navigating every checkout step. Pine Labs is building infrastructure around this transition. Its collaboration with OpenAI and Google Cloud also reflects the company’s broader AI strategy.
The technology still faces important challenges. Identity, fraud prevention, liability, privacy, and authorization need careful handling. India’s evolving UPI framework could provide an important testing ground. Early applications are expected to focus on frequent, lower-value purchases.
If these systems mature, digital payments could become less about clicking through checkout. They could become services that operate quietly within AI-driven commerce experiences.
P3P stands for Pine Labs Payment Protocol. It is an open, HTTP-based payment protocol designed for AI agents and autonomous systems. It allows agents to initiate, authorize, and execute payments within approved user permissions. Pine Labs says P3P supports UPI, ReservePay and cards.
Agentic AI allows software agents to perform tasks on a user’s behalf. Instead of manually completing every checkout step, users can provide instructions and spending boundaries. An agent can then discover products, compare options, and execute eligible payments. This moves payments toward more automated commerce experiences.
Yes. Pine Labs says P3P enables autonomous payments using UPI ReservePay. Users first establish an approved mandate, after which eligible payment requests can be processed within the defined authorization. This allows agents to complete transactions without requiring manual approval for every individual payment.
P3P uses bounded payment authorization. Payment credentials can be linked to a specific resource, amount, and expiration period. Pine Labs also provides real-time payment status and cryptographically verifiable receipts. These features can support transaction monitoring, auditing, and dispute resolution.
Pine Labs currently lists UPI, ReservePay and cards as supported payment methods. One-time mandates are also available in its current integration documentation. Net banking, wallets, and EMI options are listed as future roadmap areas.