Successfully adopting AI in a company requires understanding the distinction between AI workflows and AI agents, as these concepts are often confused. AI workflows are pre-defined, reliable sequences of tasks designed to achieve specific goals, characterized by high reliability, cost-effectiveness, and predictability. In contrast, AI agents are flexible reasoning engines that use tools to solve open-ended tasks, adapting to different scenarios without a defined start or end. Agents act as decision-makers, using workflows as tools to execute tasks much like a quarterback using a playbook in football. Initially, organizations should implement workflows to automate tasks and later introduce agents to orchestrate these workflows, allowing human operators to focus on work that AI cannot perform. Equipping agents with workflows enhances their capabilities, making them more efficient in handling complex tasks.