Short answer
Use workflow automation when the steps are predictable and the system mainly needs to move work along. Use an AI agent when the workflow needs language understanding, summarisation, drafting, classification or guided interaction, with human review for important decisions.
Next step
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What workflow automation is best at
Workflow automation is strong when a process has clear triggers, fixed steps, status updates, reminders, approvals and handoffs. It is often the safer starting point because the rules can be written down and tested without asking AI to interpret too much.
What AI agents are best at
AI agents are useful when the process involves messy text, documents, emails, research notes, user questions or drafted outputs. They can classify, summarise, route and prepare work, but should not be left to make high-risk decisions without review.
The useful overlap
Many strong systems use both. Automation moves the work, while an AI agent helps with the parts that require language or context. The design question is where judgement remains human and what evidence the system records.
How Pattrn Data helps
Pattrn Data can separate simple automation from genuine agent use cases, then design a system that combines workflow automation, AI agents and governance without adding unnecessary complexity.