The strategic conversation around agentic AI has shifted to execution. Banks are beginning to deploy autonomous agents to complete work, coordinate across systems, support employees, and increasingly make routine decisions. This panel discussion examines where agentic AI is creating measurable business value today, separating practical deployments from future aspirations. Executives will share the use cases producing tangible operational improvements, stronger customer experiences and new revenue opportunities, while exploring where additional investment will generate the greatest returns. The discussion will focus on:

• The highest-value use cases across retail, commercial and corporate banking
• Transforming lending, customer service, fraud operations and compliance
• Increasing employee productivity through intelligent workflow orchestration
• Measuring business impact through revenue, efficiency, customer experience and operational resilience
• Where banks should focus their next wave of AI investment

Scaling autonomous intelligence across an entire financial institution is the biggest challenge right now, but it also represents the future of the industry. As agentic AI becomes embedded within core banking processes, executives must rethink governance, model oversight, technology architecture and organizational design. Institutions that successfully operationalize agentic AI will build new competitive advantages, while those relying on disconnected experiments risk creating fragmented technology environments and increasing operational risk.

This fireside chat explores the components of an enterprise-ready AI operating model, including:

• How to design enterprise platforms for autonomous AI
• Data quality, orchestration and governance as competitive advantages
• Human oversight in an increasingly autonomous environment
• Managing model risk, explainability and regulatory expectations
• Integrating AI into core banking systems and business processes
• Measuring enterprise-wide ROI beyond productivity metrics

While Agentic AI will change how customers interact with financial institutions and how financial decisions are made—ultimately, defining who controls the customer relationship—governed autonomy is critical to adapting customer-facing business models. As intelligent agents begin managing cash flow, initiating payments, optimizing liquidity, negotiating financial services and interacting directly with other AI systems, banks face profound strategic choices, including how to build governed autonomy into their enterprise, what capabilities will remain differentiators, which will become commodities, and where they will create value in an increasingly autonomous financial ecosystem.

This panel discussion examines how agentic AI is reshaping competition, including the impact from:

• Building governed autonomy and why it matters
• The emergence of autonomous financial agents for consumers and businesses
• AI-to-AI commerce and machine-driven financial interactions
• The redefining of customer relationships through intelligent financial experiences
• Fintechs, hyper-scalers and emerging AI-native platforms as competitors
• Trust, data, payments and balance sheet strength as enduring competitive assets