Industry:
Financials

Evolution of Indian Banking: Shifting from Generative AI to Agentic AI in Payment Process Automation with 40-50% Semi-Autonomous Flow Adoption

Expert Insights Delivered by :
Former Vice President
JPMorgan Chase & Co.

Agentic AI adoption in Indian banking is evolving, with private banks leading in payment process automation. Major players like HDFC and ICICI are advancing AI-driven payment systems, with over 50 million transactions annually. GenAI is widely used for data collection, while semi-autonomous systems handle reconciliation and fraud prevention. Adoption metrics reveal 40-50% of payments in banks are semi-autonomous, with fraud management and reconciliation showing high ROI. Key constraints include data compliance, legacy infrastructure, and the need for substantial investment in AI-enabled systems.

Region: 
India
Duration of the Call: 
90 Minutes
Date: 
February 6, 2026

Key Questions

  • How are Indian banks integrating agentic AI into their payment systems?
  • What are the key adoption metrics for agentic AI in private and public sector banks?
  • How does GenAI compare to semi-autonomous systems in transaction processing?
  • Which payment processes are most impacted by agentic AI, such as fraud management or reconciliation?
  • What KPIs are essential to assess when evaluating agentic AI platforms?
  • What are the main constraints limiting the widespread adoption of agentic AI in Indian payments?
  • How comfortable are Indian banks with allowing autonomous machine decision-making in payments?
  • What is the projected growth of agentic AI adoption in Indian banking over the next few years?

Transcript & Expert Details

Last Updated: September 2025
Expert's Experience: 22 Years
Relevant Experience: 12 Years
Call Duration: 122 Minutes
Base Year: 2024
Estimated Years: 2025 - 2030

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