Skip to main content Skip to footer
EVENT OVERVIEW

SIBOS 2026

AI is no longer an experiment in financial services. For the institutions leading the next era of banking, it is a core operating capability reshaping how payments are processed, how risk is managed, and how client value is created.

At SIBOS 2026, Infosys will bring together our senior leaders, domain specialists, and technology practitioners to meet with you at Booth J044. Whether you are navigating payments modernization, rethinking your transaction banking model, or asking how to scale AI responsibly across your enterprise, we are ready for that conversation.

THE FRAMEWORK

The Infosys AI First
Value
Framework

Moving AI from pilot to production requires more than individual use cases. It requires a structured approach to where AI creates value, how it is deployed, and how it scales across the organization. The Infosys AI First Value Framework is built around six critical pillars:

Infosys AI First Value Framework - Life Sciences Six tightly coupled AI Value pools helps global enterprises unlock AI value at scale.

Building AI strategies, agent orchestration, and cost-aware architectures tailored to complex, regulated banking environments, unifying data, models and infrastructure at enterprise scale.

Transforming fragmented banking data across customer, transaction, risk and operational systems, into governed, AI-ready assets for reliable, decision-grade insights.

Embedding AI agents into critical financial workflows such as, onboarding, KYC/AML, fraud and dispute management, credit decisioning, to redesign end-to-end processes, not just individual tasks.

Using AI agents to reverse-engineer and progressively modernize core banking systems and legacy technical debt, without disruptive "rip and replace" transformation.

Extending AI into branches, ATMs, kiosks and assisted channels, powering relationship managers, self-service, biometric onboarding, and real-time fraud detection at the point of customer interaction.

Embedding responsible AI through explainability, bias detection, auditability and regulatory alignment, directly into the AI lifecycle so financial institutions can scale AI with regulator and customer confidence.

Together, these pillars form an integrated system for scaling AI, linking strategy to execution, and experimentation to measurable outcomes.

#Infy
AtSibos26

If you need any details regarding Infosys at Sibos 2026, please email us at

  askus@infosys.com