As AI becomes embedded in everyday workflows from note-taking to surveillance and policy automation, regulators are shifting from curiosity to scrutiny.
Many firms have written AI policies. Far fewer have operationalized supervision models that stand up under examination.
This session moves beyond theory and into implementation.
We will explore:
How firms define acceptable AI use in real operational environments
What must be monitored vs what creates unnecessary burden
How to supervise AI-assisted workflows without undermining productivity
What documentation actually matters when regulators ask questions
How leading firms are consolidating fragmented compliance, cybersecurity, and data oversight into unified governance models