“Agent” is used for almost everything at the moment, which makes buying decisions harder than they need to be. The practical difference is who decides the next step.
Automation: you decide the steps
In a workflow automation, the path is fixed in advance. AI handles the parts that need reading or writing, such as classifying an email or extracting fields from a PDF, and ordinary code moves the work along. It is predictable, cheap to run and easy to audit. Most business processes belong here.
Agents: the system decides the steps
An agent is given a goal, a set of tools and limits, and works out the path itself. That flexibility is useful when requests vary widely: researching an account, resolving an unusual support case, investigating a failed payment across three systems. It also means more testing, tighter permissions and closer monitoring.
A quick test
- If you can draw the process as a flowchart with fewer than a dozen boxes, build an automation.
- If the flowchart keeps growing “it depends” branches, consider an agent for that part only.
- If a wrong action is costly, the agent proposes and a person approves, at least until the record justifies more autonomy.
The strongest systems mix both: a dependable workflow as the backbone, with an agent called in for the steps that need judgment.