AI agents represent a significant evolution in process management, moving beyond traditional static, rules-based systems. These intelligent entities possess the ability to learn, adapt, and optimize workflows in real-time by engaging with data, systems, people, and fellow agents. They can autonomously manage entire processes, thus enhancing efficiency and responsiveness. However, to fully harness their capabilities, organizations must rethink their existing workflows. Instead of merely integrating AI agents into outdated systems, businesses should focus on redesigning their processes to be agent-centric, allowing for seamless and dynamic optimization. This approach not only maximizes the potential of AI but also paves the way for more innovative and agile operational frameworks.