Indian Banking Transformation: Scaling Agentic AI for Semi-Autonomous Payment Operations
Analyzes agentic AI adoption in Indian banking payments, highlighting semi-autonomous workflows, leading private banks, key ROI use cases, and constraints around data, regulation, and infrastructure readiness.
This transcript examines the shift from generative AI to agentic AI in Indian banking, particularly in payment process automation. Private banks like HDFC and ICICI are leading adoption, with 40–50% of payment flows already semi-autonomous.
High-impact use cases include fraud detection, reconciliation, and dispute resolution, delivering strong ROI through reduced manual intervention and faster processing. However, adoption is constrained by fragmented data systems, regulatory compliance requirements, and legacy infrastructure, especially in public sector banks, limiting full automation despite strong long-term potential.