The text discusses the challenges and solutions related to AI governance, particularly in ensuring that AI decisions are lawful and unbiased. It highlights the importance of maintaining detailed audit trails to meet regulatory requirements and enhance operational efficiency. The text emphasizes the necessity of structured logging systems to trace AI agents' decision-making processes, thereby reducing risks and facilitating compliance. It advocates for implementing proactive risk controls and adopting frameworks like NIST and ISO to manage AI-related risks effectively. Additionally, the text underscores the importance of governance practices that integrate compliance into the development workflow, thereby balancing innovation and safety. It concludes by introducing Galileo, a tool designed to enhance AI governance by providing comprehensive traceability, real-time protection, and seamless security integration, thereby transforming AI from a potential liability into a reliable business infrastructure.