Webinar
AI Is Shipping Faster Than You Can Govern It: Getting AI Controls Right in Financial Services
Reserve your spot to learn what it takes to govern AI in financial services. Inventory, assess, intervene, and resolve before an examiner asks.
Overview
If you lead compliance, AI has quietly become a second full-time job. Every new agent, copilot, and vendor tool lands on your desk for review, one prompt, one policy, one PDF at a time.
It doesn't scale. By the time you've vetted one workflow, three more have shipped, and you're still accountable for all of them, including the ChatGPT and Copilot use no one cleared with you.
This session is about the better way. You govern AI the way it actually runs, continuously and in real time, so you're reviewing exceptions instead of auditing every tool by hand. We'll show what that looks like, and how teams get there in weeks.
Why attend
For compliance leaders and engineering heads, a practical model for governing AI in regulated workflows. See every agent, turn policy into controls AI follows, enforce in real time, and prove it to an examiner.
Real cases, real numbers, real playbooks from MidLyr's product and compliance experts.
What you will learn
The examiner checklist
What regulators now expect to see for any AI-driven action, and what evidence actually clears the bar.
Where AI governance breaks
The gaps that turn off-the-shelf and DIY setups into audit findings, and the controls that close them.
Build vs. buy math
The real cost and timeline of building AI controls in-house versus running them on a layer.
From sprawl to exam-ready
The path from scattered, ungoverned AI to continuous, defensible governance in weeks, not months.