Date: February 26, 2026

Time: 2:00 PM ET | 11:00 AM PT

Format: On‑demand webinar (recording available)

Host: American Banker

Presented by: Infosys

Event Overview

The global financial system is at a pivotal inflection point. Advances in tokenization, stablecoins, and artificial intelligence are converging to reshape how money is stored, moved, and programmed. What was once constrained by legacy rails and fragmented regulation is now opening up to a new generation of programmable, interoperable, and intelligent financial infrastructure.

In this American Banker on demand webinar, Infosys brings together leaders from Stripe and Finternet Labs to examine how tokenization, stablecoins, and agentic AI can help address these challenges in practical, scalable ways. The discussion focuses on real client problems – from slow and expensive cross border payments, opaque treasury operations, and manual risk controls to the difficulty of innovating without disrupting core systems.

Speakers

Fergal Madigan

Fergal Madigan
Global Financial Services Go-to-Market Lead, Stripe

Siddharth Shetty

Siddharth Shetty
CEO – Finternet Labs

Vivek Dwivedi

Vivek Dwivedi
Regional Head, Infosys

Moderator

Samad Masood

Samad Masood
AVP, Senior Principal - Business Consulting

Key Takeaways

The webinar offers actionable insights for organizations looking to unlock new efficiencies, simplify complex workflows, and evolve their role in an increasingly digital, interoperable financial ecosystem - without compromising stability, compliance, or customer confidence.

The speakers share their perspective on how programmable money and AI driven decisioning can augment existing financial rails, enabling institutions to modernize incrementally rather than through wholesale replacement. Through real-world use cases, the session explores how banks and payment providers can improve speed, transparency, and resilience, while maintaining regulatory trust and operational control.

Watch the webinar here

Reimagining Financial Infrastructure: From Tokenization to Agentic AI