How to plan your first AI workflow

The strongest first AI workflow is usually a narrow one. It solves a real, repeated problem and leaves a clear place for a person to review the result.

1. Map the task as it works today

Write down where information comes from, who uses it, which steps repeat and where errors cause trouble. This makes the opportunity visible before you choose any tool.

2. Choose a low-risk step

Good starting points include classifying incoming requests, extracting action items or drafting a response for review. Avoid automating a final customer promise, payment or sensitive decision first.

3. Define the input and output

Provide examples and a consistent output format. Specify what the system should do when information is missing: ask, flag it or leave the field blank rather than guessing.

4. Keep a review gate

Choose who checks the output and what they must verify. Review should be easy enough to fit the team’s normal flow.

5. Measure a real improvement

Track time saved, fewer missed requests or faster first drafts. If the workflow creates more checking than it removes, refine the task or stop using it.