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upcoming webinar

Beyond the Rulebook: Deploying Autonomous AI Agents for Reconciliation

Minimize Manual Breaks and Master Complexity at Scale

Wednesday, June 24 | 11:00 AM ET

Fragmented counterparty notice formats. Disconnected data sources. Break queues that grow faster than teams can handle. This is the daily reality of reconciliation across equities, fixed income, derivatives, and private credit.

Rules-based engines were not built for this, and it shows. As instrument complexity and inconsistent data increase, they generate more exceptions than they close.

In this webinar, the operations technology team from Indus Valley Partners will show how agentic AI matching transforms reconciliation, from end to end and across asset classes, without adding headcount or rewriting rule libraries.

Join us to explore:

    • Common reconciliation issues across asset classes: fragmented notices, disconnected sources, and break queues that exceed manual capacity
    • Why rules-based matching engines fall short when instrument complexity and data inconsistency both increase
    • Streamlining agent notice processing from the inbox to break resolution without manual re-entry
    • How AI-powered recommendations solve repetitive breaks with human-in-the-loop approval

Host

Nikhil Tyagi

Managing Director, Indus Valley Partners

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