When does using AI agents make sense?

Agents make sense when there is no clear solution path, when input is highly variable, or when the task requires interpretation and flexible planning. Typical characteristics: unstructured documents, changing requirements, decisions that need contextual knowledge.

If a process can be fully mapped through rules, classical automation is more efficient. Agents step in where rule-based systems reach their limits.

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