Scaling the Autonomous Enterprise: The Need to Build a Trustworthy AI Operating Model

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