AI Workflow vs. AI Agents: What’s the Difference?

AI workflows execute known paths. AI agents make decisions inside boundaries.

That distinction matters because risk moves when autonomy increases.

Use Workflows When

• The process is repeatable.
• Inputs and outputs are known.
• Exceptions can be routed cleanly.
• Audit requirements are stable.

Use Agents When

• The environment changes.
• Decisions require context.
• Tools must be selected dynamically.
• Human review can handle exceptions.

Executive Perspective

Workflows deliver control. Agents deliver adaptability. The operating model should decide the mix, not vendor language.