Episode 6 — Build an AI governance charter that aligns to business objectives (Task 1)
This episode breaks down what makes an AI governance charter exam-ready: clear purpose, scope boundaries, authority, membership, and decision mechanisms that connect directly to business goals and risk tolerance. You will learn how to write charter language that is testable, including how to define which AI systems are in scope, what decisions require approval, and how exceptions are handled without creating shadow AI. We walk through a scenario where a team wants to deploy a model quickly, showing how a charter enables speed while still enforcing security gates and evidence expectations. Troubleshooting focuses on common charter failures such as vague scope, missing accountability, and no measurable outcomes, which often lead to audit findings and operational confusion. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
