As financial institutions move beyond AI experimentation, the primary bottleneck is no longer capability; it is governance. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how enterprises can operationalize agentic AI inside regulated financial workflows, including the two-loop oversight model that keeps agents compliant, self-correcting, and continuously improving. The conversation covers what it means for agents to self-heal when they encounter exceptions, how decision logic should be governed in practice, and how to approach the build-versus-buy decision in a way that places accountability ahead of capability.

This episode is sponsored by Reindeer AI. In this episode, we cover how enterprises in banking and financial services are operationalizing agentic AI inside regulated workflows — and what governance infrastructure actually makes it sustainable at scale.

To go deeper on this topic and learn how banks are using RPA to reduce operational costs in repetitive workflows and applying anomaly detection to identify fraud in real time, download our free PDF report, “AI in Banking Executive Cheat Sheet,” at emerj.com/bcs1