How / What / When

When / Answer

When to use an AI agent instead of a workflow

Use a workflow when the steps are known and repeatable. Consider an agent when the path genuinely changes with the situation and the system can safely inspect results, choose a next action, and stop for approval.

For teams deciding whether agentic complexity will remove work or merely add another system to supervise. · Reviewed 2026-09-29

A workflow is the right answer more often than people think

If the process is “read this brief, create three drafts, run a checklist, send for approval,” write the steps down. A normal workflow is easier to test, audit, estimate, and repair than an agent that invents its own route through the task.

An agent earns its place when

  • The next step depends on what the previous step discovered.
  • Several tools or sources must be chosen dynamically.
  • The task repeats but the path varies within clear boundaries.
  • The system can recover from a failed tool call.
  • A human can approve risky actions before they happen.

The risk test

QuestionIf the answer is yes
Can the system send, buy, delete, publish, or change data?Add approval and audit logs before autonomy
Can a wrong action harm a customer or budget?Keep the action behind a human gate
Can the task be completed with a checklist?Start with a workflow
Will the path vary in ways you cannot enumerate?An agent may be useful, but define a strict boundary first

The practical rollout

Start with a workflow that logs each step. Let an agent suggest the next action while a person approves it. Only remove an approval after repeated tests show that the risk is understood and the benefit is measurable.

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