What is an Agentic Workflow?

An agentic workflow is a multi-step process in which one or more AI agents autonomously carry out a sequence of tasks, tool calls, and decisions to reach a defined outcome, with the sequence determined dynamically rather than fixed in advance.

Where a conventional workflow diagram fixes every branch ahead of time, an agentic workflow only fixes the goal and the available tools; the agent decides the actual path at runtime based on what it observes at each step. A research task, for instance, might involve searching, reading several sources, deciding some are unreliable, searching again, and only then synthesizing an answer, a sequence no static flowchart specified in advance.

Designing a good agentic workflow means defining clear stop conditions, checkpoints where a human or a verification step reviews progress, and explicit boundaries on what the agent is allowed to do without approval. Without those boundaries, an agent's flexibility becomes a liability, since it can wander into unintended actions while technically pursuing its assigned goal.

In practice with Neotask

Neotask's blog-generation pipeline is an agentic workflow: the agent researches the company, drafts the post, generates a cover image, and publishes it, deciding at each stage what the next concrete action should be, rather than following one hardcoded script that assumes every company looks the same.

Related terms

• Agentic AI
• Agent Swarm
• AI Orchestrator
• Task Decomposition
• Agent Tools

Plans

Related terms

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