A workflow where an LLM decides the next step instead of a hard-coded path.
1 min readupdated 2026-07-04
/ quick answer
An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met. A workflow where an LLM decides the next step instead of a hard-coded path.
A workflow where an LLM decides the next step instead of a hard-coded path. An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met. In practice: A support triage agent reads a ticket, decides whether to search the KB, escalate to a human, or draft a reply — no fixed branching. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met.
Example
A support triage agent reads a ticket, decides whether to search the KB, escalate to a human, or draft a reply — no fixed branching.
An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met.
What is an example of Agentic Workflow?
A support triage agent reads a ticket, decides whether to search the KB, escalate to a human, or draft a reply — no fixed branching.
Why does Agentic Workflow matter for AI and automation?
A workflow where an LLM decides the next step instead of a hard-coded path. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.