AI agents are systems that can independently make decisions and take actions to accomplish specific tasks, operating using four basic steps: perceiving, analyzing, decisioning, and action. These agents have historically been difficult to implement due to complex machine learning models or rules-based programming, but advancements in data availability, computational power, and foundational models have made them more accessible. The key to effective AI strategy lies in a strong data foundation, with organizations needing to address three dimensions of data readiness: data quality, connectivity, and collaboration. By leveraging AI agents, organizations can drive value through increased productivity, enhanced decision-making, and improved customer experiences, making it a competitive advantage in today's fast-paced technological landscape.