The one-line difference
Automation follows a script. Agentic AI follows a goal. A workflow is a fixed sequence of steps that runs the same way every time. An agent decides its own next step — within guardrails — to reach an outcome. When the input is predictable, automate. When the input varies and the path matters, use an agent.
When automation is enough
If your process can be written as a decision tree — if this, then that, else the other — you want automation. Tools like n8n, Make and Zapier own this space, and they are the right answer for a huge amount of back-office work: move data, post updates, send notifications, sync records.
When you need an agent
You need an agent the moment the input does not fit a fixed template. Reading an invoice that is always formatted differently. Triaging an email that does not match a keyword. Answering a question that has never been asked exactly that way. That is reasoning over unstructured input — and it is the thing a script cannot do.
The grey zone
Most real workflows sit in the middle: the routing is agentic, the hand-off is automated. An agent reads and decides, then an automated step does the mechanical follow-through. The best systems we build are exactly this — an agent at the head, a script at the tail.
How we decide
We do not guess. We map the workflow, find the step where a human’s judgement is actually being spent, and put the agent there — not everywhere. If you are unsure where your workflow lands, the finder takes thirty seconds and gives you a straight answer.