As AI agents move from experimentation into live financial workflows, financial institutions face a new set of questions around control, accountability and cost.
In this interview analysis from Emerj Artificial Intelligence Research, Shahir Daya, Chief Product & Technology Officer at Zafin, explores what it takes to govern agentic AI at scale. He discusses why governance needs to extend beyond individual agents to the workflows they execute, the role of a control plane in maintaining authority and auditability, and why AI compute costs need to be governed as closely as operational risk.
Read Emerj’s analysis to explore how financial institutions can build the controls, visibility and cost discipline needed to move agentic AI from promising pilots to governed production.
https://emerj.com/risk-and-cost-governance-for-ai-agents-in-regulated-institutions/