Agentic AI Systems: Opportunities, Challenges, and Trustworthiness
Tayiba Raheem, Gahangir Hossain · 2025
Agentic AI Systems represent a significant ad-vancement in artificial intelligence by enabling systems to autonomously perceive, decide, and act in complex environments. This review explores the definition, scope, advantages, challenges, opportunities, and trustworthiness of agentic AI in organizational and societal contexts. Agentic AI offers higher efficiency, scalability, and improved decision making which enables the organizations to streamline operations and enhance their productivity. Despite these advancements Agentic AI has its own challenges such as; safety concerns, accountability, reliability issues and potential misuse remain critical areas for consideration. This paper provides a comprehensive discussion of agentic AI's impact in emphasizing both its transformative potential and the need for continuous oversight and refinement.