AI agents are increasingly being integrated into business processes, demonstrating their potential to revolutionize operations. With the ability to work 24/7 and handle data traffic spikes, these agents can reduce human error and low-value work time significantly. They enhance efficiency by automating complex decision-making and optimizing workflows in real-time. Businesses leveraging AI agents are experiencing faster workflow cycles, reduced operational costs, and improved customer satisfaction. However, implementing these agents poses challenges, including the need for high-quality data, system interoperability, and effective governance. Companies must balance AI autonomy with human oversight to mitigate risks associated with cybersecurity and bias. As organizations transition to AI-first operations, they must embrace structural and cultural changes to fully realize the benefits of agentic AI.