Reconciliation has long relied on automation to move faster and handle greater scale. But as capital markets operations contend with growing data complexity, shorter settlement cycles, and heightened regulatory expectations, automation alone is no longer enough.

This session examines how financial institutions are beginning to shift towards autonomous operating models, where Agentic AI systems take responsibility for defined reconciliation activities:

• Executing tasks
• Resolving exceptions
• Adapting workflows within governed boundaries

Rather than supporting human users step by step, these systems act as operational participants: enabling teams to focus on oversight, judgement, and strategic control.

By exploring real world use cases and emerging design patterns, the discussion will unpack how reconciliation is evolving from a manual control process into an intelligent, self directing function and what that shift means for resilience, scalability, and operational confidence.

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