AI risk rarely fails at the technical layer, it fails at the communication layer.

Boards and executives ask reasonable questions about AI accountability, impact, and exposure, but those questions often get lost in technical detail or abstract risk language. This talk shows how AI practitioners can use Combined Assurance Blueprinting to translate models, data pipelines, and controls into decision-ready narratives for leadership. Attendees will learn how to make AI behavior legible at the board level, align technical execution with business intent, and support informed executive decisions without oversimplifying the technology.