An agentic workflow is automation where a language model decides how the work gets done. In regular automation, every step is set in advance: an event comes in, an action fires. In an agentic workflow, you define the outcome, and the agent figures out what to do: read the data, call the right service, evaluate the response and retry a step if needed.
An agentic workflow usually includes:
- A trigger: a message, an event or a schedule
- Planning: the agent breaks the task into steps
- Tool calls: APIs, search, the knowledge base
- Review: the agent or a person checks the result
- A report: the result goes back to where the task came from
Often, an agentic step sits inside a regular workflow: the trigger and the reply are fixed, and an AI agent does the work in between. That's how you build a no-code team agent in Pachca: the bot gets an event when someone @mentions it, an n8n workflow passes the question to an agent with a knowledge base, and the answer lands in the thread.
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