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A multi-step process where AI agents plan, execute, and iterate autonomously toward a goal without requiring human intervention at each step. Unlike simple automation (if-then rules), agentic workflows involve reasoning, tool use, error handling, and adaptive replanning. For example, an operations agent might detect a failed deployment, diagnose the root cause, apply a fix, run tests, and notify the team—all without human prompting.