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Beyond the Rulebook: Deploying Autonomous AI Agents for Reconciliation

Speaker

Nikhil Tyagi

Managing Director, Indus Valley Partners

Fragmented notice formats, disconnected data sources, and growing break queues continue to challenge reconciliation teams across asset classes. As instrument complexity and data inconsistency increase, traditional rules-based matching engines often generate more exceptions than they resolve.

In this on-demand session, IVP Reconciliation experts demonstrate how agentic AI matching transforms reconciliation workflows by automating notice processing, identifying matches, and accelerating break resolution without adding headcount or expanding rule libraries.

Watch This Webinar to Learn:

  • Common reconciliation challenges across asset classes, including fragmented notices, disconnected data sources, and growing break volumes
  • Why traditional rules-based matching approaches struggle with complex instruments and inconsistent data
  • Automating agent notice processing from ingestion through break identification and resolution
  • Using AI-powered recommendations to resolve repetitive breaks with human-in-the-loop approval

Reconciliation Solution

Enhance accuracy and flexibility with an AI-powered reconciliation solution that supports any-to-any reconciliation, processing millions of transactions in minutes.

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