Mr. Sai Kiran Nandipati

Transforming Financial Dispute Management with Explainable AI and Real-Time Decisioning

Abstract:

 

Financial institutions are under growing pressure to resolve disputes faster, reduce operational costs, and maintain compliance with evolving regulations. Traditional dispute management systems often rely on rigid workflows and manual intervention, creating bottlenecks, inconsistencies, and customer dissatisfaction.

This session presents a practical blueprint for how AI-powered decisioning and real-time orchestration can revolutionize the claims and dispute lifecycle in banking. Drawing from large-scale implementations at Tier 1 U.S. banks, the talk explores how adaptive models, explainable decision engines, and intelligent automation can streamline resolution, enhance auditability, and improve customer trust.

Key highlights include the design of a dispute engine using Pega Smart Dispute Framework, leveraging behavioral analytics to assess claims dynamically, and embedding low-code AI to enable real-time eligibility, prioritization, and response strategies.