Agentic Workflow
A multi-step process where AI agents autonomously complete complex tasks.
Definition
An agentic workflow chains multiple AI actions together to accomplish complex goals without continuous human direction. The AI plans steps, executes them, evaluates results, and iterates—mimicking how a human would break down and tackle a project.
Unlike single-prompt interactions, agentic workflows enable AI to handle tasks requiring research, analysis, creation, and refinement.
Why It Matters
Agentic workflows unlock AI for tasks previously requiring human project management. They can dramatically reduce time spent on research, content creation, and analysis projects.
Understanding agentic design helps organizations identify which workflows can be safely delegated to AI.
Examples in Practice
An agentic workflow researches competitors, analyzes their positioning, drafts a competitive brief, and creates presentation slides—all from a single request.
A content agent writes articles by researching topics, creating outlines, drafting sections, and self-editing for quality.
A sales agent qualifies leads by researching companies, identifying decision-makers, and drafting personalized outreach.