NPCI chief Dilip Asbe bats for regulatory framework for fintech AI systems - Business Standard
Summary
National Payments Corporation of India (NPCI) Chief Dilip Asbe advocated for a regulatory framework for agentic artificial intelligence (AI) within India's digital payments and financial technology ecosystem on May 30, 2026. Asbe emphasized the necessity of this framework to ensure the orderly implementation of AI-driven use cases, particularly as NPCI expands its AI-powered UPI and voice-payment functionalities. He highlighted the importance of establishing robust governance mechanisms for transaction authorization and grievance redressal, while also stressing the need for an open mind to allow experimentation with emerging technologies like AI. Asbe noted that agentic technologies provide substantial advantage for both users and merchants, underscoring the dual need for innovation and structured oversight in this evolving sector.
Key takeaway
For policy makers and fintech executives developing AI strategies, you should prioritize establishing clear regulatory frameworks for agentic AI systems. This ensures responsible innovation by defining governance for transaction authorization and grievance redressal, mitigating risks while fostering new use cases like AI-driven UPI and voice payments. Your focus must be on balancing technological experimentation with robust oversight to build trust and ensure orderly market growth.
Key insights
NPCI seeks a regulatory framework for agentic AI in fintech to balance innovation with governance in digital payments.
Principles
- Regulatory frameworks are essential for orderly AI implementation.
- Governance must cover transaction authorization and grievance redressal.
- Experimentation with new AI technologies should be encouraged.
In practice
- Expand AI-driven UPI use cases.
- Develop voice-payment functionalities.
- Implement governance for AI transaction authorization.
Topics
- Agentic AI
- Digital Payments
- Fintech Regulation
- NPCI
- UPI
- AI Governance
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Legal Professional, Executive
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