What Is an Agentic Workflow?

An agentic workflow is a process where an AI agent decides its own steps to reach a goal, rather than following a fixed sequence set in advance. The workflow still has a start and an end, but the path between them is chosen by the agent as it goes, based on what it finds at each step.

How an agentic workflow works

An agentic workflow gives an agent a goal and a set of tools, then lets it work out the sequence. At each step the agent looks at the current state, picks the next action, runs it, and reads the result before choosing again. A traditional workflow runs the same branch every time, while an agentic one can take a different route for a different input, which is what makes it suited to messy or variable work.

Why agentic workflows matter for business

Agentic workflows handle the cases that break rules-based automation. When a process has too many exceptions to script, a fixed workflow stalls on the first input it did not anticipate, while an agent can reason through it and keep going. That flexibility is also what makes them harder to trust without guardrails, so most production versions keep a person in the loop on the steps that carry real risk.

At Custom AI Studio, agentic workflows are how we automate processes that have resisted rules alone.