Reconciliation is emerging as one of the most impactful AI use cases in operations. This session explores how firms are leveraging AI to automate processes, reduce breaks, and improve efficiency. 

• Identifying which reconciliation workflows (cash, positions, transactions, breaks) are best suited for AI-driven transformation
• Reducing manual intervention through intelligent matching, predictive exception management, and automated root-cause analysis
• Integrating AI capabilities into existing reconciliation platforms without disrupting core infrastructure
• Establishing robust control frameworks to ensure transparency, auditability, and regulatory compliance
• Measuring and communicate efficiency, accuracy, and cost improvements to demonstrate tangible operational ROI