Infosys at SIBOS 2026:
Unlock AI Value in Financial Services
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 No. 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 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:
AI strategy, building AI agents, and orchestrating across platforms, tools and assets
Make enterprise data ready for AI models, and drive business insights
Reimagine core business processes using agents
Use agents to modernize legacy estates
Design products and embed AI in physical devices
Ensure responsible and secure AI
Together, these pillars form an integrated system for scaling AI, linking strategy to execution, and experimentation to measurable outcomes.
Infosys Capabilities on Showcase at SIBOS
Our conversations at SIBOS 2026 will span five interconnected areas of transformation across corporate and transaction banking. Each reflects where our clients are investing, what they are struggling with, and where AI is starting to make a real difference.
Transaction Banking
The transaction banking value chain is being recomposed. Platform-centric and ecosystem-led models are displacing traditional operating architectures. Banks that can deliver real-time, ISO 20022-native, and AI-enabled transaction banking services are gaining competitive ground. We will discuss how to redesign the operating model and the technology foundation together.
Cash Management
Corporate treasurers expect real-time visibility, intelligent forecasting, and seamless digital self-service. The gap between what banks can deliver and what clients now expect is widening. AI-driven cash flow forecasting, automated liquidity management, and virtual account capabilities are where the conversation is moving. We will explore how to close that gap practically.
Payments
Payments modernization is not a single initiative. It is an ongoing restructuring of infrastructure, processing logic, and client experience. ISO 20022, real-time rails, cross-border simplification, and the emergence of AI-powered operations are all in play simultaneously. We will discuss how to sequence modernization without destabilizing what is working.
Trade Finance
Trade and supply chain finance is undergoing its most significant transformation in a generation, driven by digitalization, ecosystem connectivity, and regulatory change. AI is accelerating document processing, risk assessment, and compliance workflows in ways that were not possible two years ago. We will talk about where the real efficiency gains are and what the modernized trade operating model looks like.
Corporate Lending
The corporate lending lifecycle remains one of the most manual, fragmented, and risk-intensive areas of banking. Modernizing across origination, underwriting, servicing, and portfolio management while embedding intelligent automation, is both a competitive necessity and an operational challenge. We will discuss what a composable, AI-enabled lending platform looks like in practice.
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AtSibos26
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