The emergence of Agentic AI, characterized by its capacity for autonomous adaptation and continuous learning, is a revolutionary industry that optimizes complex processes and drives innovation. However, the autonomy of Agentic AI introduces significant challenges that demand robust governance frameworks to ensure responsible development and deployment. This chapter explores the key pillars of AI governance, including ethical principles, accountability structures, risk management, human-AI collaboration, and policy engagement. Technical innovations such as adaptive control systems, multi-stakeholder monitoring tools, and distributed accountability networks have been introduced to enhance governance effectiveness. Organizations must proactively address the ethical risks, legal uncertainties, and operational complexities associated with Agentic AI. Embracing explainable AI technologies, implementing adaptive monitoring, and fostering collaborative engagement among stakeholders is crucial for unlocking the full potential of Agentic AI while safeguarding it from potential harm. The responsible integration of Agentic AI requires a multidisciplinary approach, commitment to ethical principles, and continuous improvement to ensure that these systems benefit society as a whole. By adopting proactive governance frameworks, organizations can navigate the complexities of Agentic AI, foster trust among stakeholders, and shape a future in which innovation and societal well-being are linked inextricably.