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This excerpt from Agentic Artificial Intelligence by Pascal Bornet and collaborators introduces a shift from passive generative AI to autonomous AI agents capable of independent action. The authors argue that while current AI can "think," it often lacks the ability to "do," leaving humans to perform the repetitive manual tasks required to execute AI-generated plans. By combining large language models with intelligent automation, agentic systems can autonomously sense their environment, plan multi-step workflows, and use digital tools to achieve specific goals. The text provides a SPAR framework—Sensing, Planning, Acting, and Reflecting—to explain how these digital workers operate and learn from experience. It further establishes a five-level progression scale to help businesses categorize and implement these technologies, moving from simple rule-based scripts to fully autonomous systems. Ultimately, the source serves as a strategic guide for leveraging these "intelligent digital workers" to reinvent business operations and enhance human potential.