Unlike traditional automation (rigid if-then rules), agentic workflows use LLMs to handle variability, make contextual decisions, and recover from errors. Examples include ghost employee outbound systems, autonomous customer support agents, and financial reporting pipelines. The key design principle is defining clear success criteria and human escalation conditions rather than scripting every step.