A marketing professional shares insights on leveraging AI agents and automated workflows to enhance business efficiency, drawing from a year-long experiment to build AI helpers for his marketing agency and media company. He clarifies the distinction between AI workflows, which follow rigid if-then logic, and AI agents, which can reason and adapt to new situations. The article emphasizes the importance of systems thinking in creating agentic AI workflows, where a structured automation framework is enhanced by an AI agent's decision-making capabilities. Using the Gumloop platform, the author demonstrates how to create these workflows by mapping out logic, integrating AI tools, and refining through iterative testing. By combining the reliability of structured workflows with the flexibility of AI agents, businesses can optimize for both consistency and adaptability, ultimately achieving scalable and efficient operations.