AI adoption brings tremendous opportunity but also significant responsibility. In this session, we explore practical strategies for responsible AI governance in enterprise environments. Attendees will learn how to audit models, manage bias, enforce compliance, and embed ethical checks throughout the AI lifecycle. We will cover patterns for governing autonomous systems across multiple teams, balancing automation with human oversight, and aligning AI outputs with business and regulatory policies. Real-world examples will illustrate how organizations can innovate with AI while minimizing risk. By the end, participants will understand actionable frameworks for ensuring their AI deployments are ethical, auditable, and compliant, empowering teams to build AI that is both powerful and trustworthy.