As AI systems become integral to decision-making across industries, the need for robust governance frameworks has never been more critical. This session will provide a practical guide to building an AI governance framework, focusing on three foundational pillars: Privacy & Security, Fairness & Explainability, and Ethics & Accountability. Drawing on best practices and insights from leading frameworks, attendees will learn how to design governance structures that address privacy risks, mitigate bias, ensure transparency, and establish accountability. The session will also explore how these pillars intersect with emerging regulations and organizational goals, offering actionable strategies to align AI systems with ethical and regulatory standards while fostering trust and innovation.