Pine Labs has unveiled the Pine Labs Payment Protocol (P3P), pioneering an autonomous AI-driven payments system on India’s UPI platform that allows AI software to execute payments without user approval on each transaction, prompting questions on regulatory compliance and data privacy.

  • P3P lets AI agents make payments via UPI mandates without requiring user authentication each time.
  • Concerns arise over P3P’s alignment with RBI’s extra security authentication rules and UPI mandate framework.
  • User privacy and liability issues remain unclear, prompting calls for regulatory clarity.

What happened

The protocol currently operates with UPI ReservePay and is planned to expand to include cards, net banking, wallets, EMI options, and potentially stablecoins in future iterations. Unlike previous solutions tied to specific AI assistants, P3P works as a standalone protocol accessible by any AI agent across apps or websites.

Why it matters

Furthermore, the Reserve Bank of India (RBI) mandates additional factor authentication (AFA) for mandate setup and generally requires user PIN entry for UPI payments. P3P bypasses per-transaction PIN entry, prompting concerns about security, fraud liability, and whether it fully aligns with RBI’s digital payments regulations.

What to watch next

Regulatory clarity is expected to evolve as Pine Labs deploys P3P more broadly. Critical areas include RBI guidelines addressing the use of AI-driven autonomous payments within the mandate framework and how banks and payment service providers manage risk and compliance.

Privacy experts and industry watchers will closely monitor data handling practices, particularly what transaction information AI agents access, how prompts and user details are stored or used for AI training, and overall safeguards protecting consumer data against misuse or breach.

Source assisted: This briefing began from a discovered source item from MediaNama. Open the original source.
How SignalDesk reports: feeds and outside sources are used for discovery. Public briefings are edited to add context, buyer relevance and attribution before they are published. Read the standards

Related briefings