With AI's rapid integration into business processes, AI governance tools are essential for ensuring ethical and responsible use, mitigating risks like bias, data privacy violations, and non-compliance with regulations such as the EU AI Act. These tools help organizations by promoting fairness, transparency, and reliability, ultimately enhancing public trust and competitive advantage. The document explores a range of AI governance platforms, detailing their features, strengths, weaknesses, and use cases, while providing insights on selecting the right tool based on specific needs. Clarifai, for instance, offers an end-to-end AI platform that seamlessly integrates governance with model deployment and monitoring, ensuring compliance and ethical AI practices. As businesses prepare for the future, integrating AI governance with data governance and MLOps is pivotal for maximizing AI's potential while minimizing risks, with emerging trends highlighting the importance of privacy-preserving techniques and cross-functional collaboration.