Speakers
AI is rapidly reshaping operational risk from RCSA and control testing to issue management and real-time monitoring. For risk functions built on manual, judgment-driven frameworks, this is a pivotal shift toward continuous, data-driven insight. But ungoverned AI can just as easily become a source of operational loss. This session examines how to capture AI's near-term wins while building the governance foundations for lasting transformation.
In this webinar, we will discuss:
Why traditional RCSAs have hit their ceiling and what AI-enabled operational risk promises
Near-term efficiency gains vs. the longer-term shift to probabilistic, quantitative risk measurement
When AI becomes the risk: governance gaps, model opacity, and automating flawed processes
Hard questions for CROs: data readiness, talent gaps, and human-in-the-loop design
Where to begin: foundational data strategy and the road from pilot to scaled transformation
In case you’re unable to catch the live webinar, please register to receive the recording which you can watch at your convenience.
