Overview
Workflow automation uses AI or AI-generated code to remove predictable, repetitive work when triggers, inputs, outputs, exceptions, and ownership are clear.
What it is, how it works
- Identify a high-value workflow to automate, for example by following our AI Adoption Guide
- Make sure this is a predictable, repetitive workflow
- Identify on trigger, inputs, outputs, exceptions, failure visibility, and ownership.
When not to use it
- Do not use when nobody agrees how the manual process works.
- Do not use if there are existing tools that can already do it.
- Do not use if the data source or destination has no API.
How to get started
- Capture trigger, inputs, steps, outputs, exceptions, and failure impact.
- Use a tool like Zapier or n8n with existing connectors and AI nodes.
- Start with internal workflows before tackling external ones.
Best practices / further reading
- Do not automate broken work.
- Use deterministic rules where rules are enough.
- Assign a real owner after launch.
- Related: Agentic Engineering