A Comprehensive Study of Agentic AI Systems

Abstract

Agentic AI is a revolutionary development in artificial intelligence, as it can mimic human behavior, thanks to enabling technology that allows it to act with a level of independence and decision-making ability close to human-like agency. The study presents a comprehensive analysis of Agentic AI; it has both theoretical frameworks and practical implementations. The paper starts by defining Agentic AI and its role in creating autonomous AI systems. The research investigates fundamental architectural systems that enable AI agents to make autonomous decisions while performing intricate operations. The paper demonstrates how Agentic AI refines operational efficiency and decision-making capabilities across different sectors, including logistics, finance, education, and healthcare. The paper also examines the ethical and legal aspects, emphasizing accountability, privacy protection, and regulatory issues that autonomous agents create. The deployment of Agentic AI at scale presents multiple challenges, including transparency issues, security concerns, and interoperability problems, which we examine in conjunction with future research directions. The paper evaluates Agentic AI's real-world effects through monetary benefits.