Agentic AI marks a significant advancement in artificial intelligence, characterized by systems that autonomously plan, decide, and act towards goals with minimal human intervention. Unlike traditional AI, which follows set rules, or generative AI, which produces content, agentic AI combines these capabilities with agency, memory, and tool integration, enabling proactive decision-making and multi-step reasoning. This evolution allows businesses to shift from reactive automation to strategic collaboration, potentially transforming industries such as IT support, HR, finance, and healthcare. Despite its promise, challenges remain, including data quality, ethical risks, and integration complexities, while early adoption could provide competitive advantages as market forecasts suggest a steep increase in the use of AI agents. As agentic AI continues to develop, it is crucial for organizations to ensure responsible implementation, encompassing robust data governance, ethical oversight, and human-AI collaboration to realize its full potential while maintaining trust and transparency.