GCD Webinar on Agentic AI in Wholesale Credit Risk

Overview

Wholesale credit risk frameworks are highly sophisticated and well-governed, yet they remain largely retrospective, relying on periodic historical data. As markets, macroeconomic factors, and regulatory expectations evolve continuously, traditional approaches often miss real-time signals.

This webinar explores how AI and GenAI can enable faster sourcing and integration of large-scale financial data into credit decisioning. We will present a practical ML and agentic AI framework across the wholesale credit risk lifecycle covering risk signal design, signal aggregation, and exception handling within a strong governance structure.

The session will highlight how combining agentic AI with traditional methods can support faster, more accurate, and regulatorily compliant credit decisions.