This paper explores the transformative role of Artificial Intelligence (AI) in financial risk management and corporate governance optimization. As AI technologies evolve, they offer significant advancements in predicting, monitoring, and mitigating financial risks, enhancing corporate governance's transparency, accountability, and efficiency. The paper presents a comprehensive conceptual framework for integrating AI-driven solutions into financial risk management and governance structures. Key components of the framework include data sources, predictive analytics, real-time monitoring, and anomaly detection, all of which contribute to proactive risk mitigation and improved decision-making. Additionally, the framework emphasizes the importance of governance controls to ensure AI technologies' ethical and compliant deployment. The paper also addresses the challenges of AI integration, such as ethical concerns, model explainability, and regulatory adaptation. By examining real-world case studies, the paper demonstrates the practical applications of AI in enhancing financial stability and governance practices. The findings suggest that AI has the potential to reshape the future of financial ecosystems by enabling organizations to navigate risks better and ensure compliance. Finally, the paper outlines future research directions, including the need for further studies on AI ethics, cross-industry adoption, and regulatory frameworks to foster the responsible use of AI in these domains.