Session Descriptions

AI for Risk Management with Tangible Examples

Tuesday, August 25, 2026

9:45 a.m. to 11:00 a.m.

This session focuses on practical, high value AI applications within the risk function, emphasizing how risk teams can move beyond experimentation to embedded, repeatable workflows that improve efficiency, effectiveness, and insight quality. Drawing on tangible industry examples across credit risk, portfolio monitoring, compliance, and risk reporting, the session highlights where AI can speed up processes and augment professional judgment rather than replace it. Participants will explore the distinct roles of Predictive AI (forecasting, risk assessment, anomaly detection), Generative AI (content creation, synthesis, decision support), and Agentic AI (goal-oriented software that act across systems to complete tasks with minimal to no human supervision), common misconceptions that slow adoption, and the guardrails required to ensure AI outputs are of high quality, reliable, explainable, and aligned with risk appetite.

LEARNING OUTCOMES:

1. Explain the differences between Predictive AI, Generative AI, and Agentic AI, and justify which is most appropriate for a given risk task, process, or workflow.
2. Identify up to five tangible AI opportunities in the risk function.
3. Draft an action plan to start or accelerate AI initiatives within their risk team based on a checklist provided.