What is an agentic workflow?
A process where each step is decided by the agent based on what the last step found, not a fixed script.
Agentic workflow — An agentic workflow is a multi-step process in which an AI agent decides which actions to take, in what order, based on intermediate results, rather than following a fixed script. It is used where the path depends on what is found along the way.
Why it matters
A fixed automation runs the same steps every time: if a form is submitted, send this email, then wait three days, then send that one. It works well when the path never changes. An agentic workflow is different: the agent looks at what it finds at each step and decides what to do next, so researching a prospect might lead to checking their company's recent news, which might lead to picking a different opening line, depending on what turns up.
That flexibility costs something. A fixed automation is cheap to run, fast, and easy to audit, because the same input always produces the same path. An agentic workflow calls a model at each decision point, which costs more, runs slower, and can take a different path on two similar inputs. The right call is to use an agentic workflow only where the branching genuinely depends on what is discovered along the way, like qualifying a lead from open-ended research, and to use a fixed automation everywhere the steps are actually always the same, like a standard follow-up cadence.
How an agentic workflow runs
- 1
The agent is given a goal
Not a fixed script, but an outcome to work toward.
- 2
It takes a first action
Often a tool call to gather information relevant to the goal.
- 3
It evaluates the result
Deciding what the finding means for the next step.
- 4
It chooses the next action
Which can differ from run to run based on what was found.
- 5
It stops when the goal is met or a limit is hit
Handing off to a person if it cannot complete the goal on its own.
The mistake to watch for
Questions
- How is an agentic workflow different from a fixed automation?
- A fixed automation, built in a workflow builder, always runs the same steps in the same order. An agentic workflow lets the agent choose the next step based on what earlier steps found, so the path can differ between runs.
- Is an agentic workflow always better than a fixed one?
- No. It costs more and is harder to predict. It earns its cost only where the right next step genuinely depends on information the agent has to go find first.
- Can an agentic workflow still have guardrails?
- Yes, and it needs them more than a fixed automation does. A guardrail bounds what the agent can do at each decision point, regardless of which path it chooses to take.