A Practical Checklist for Choosing an AI Workflow

AI projects work best when they start with a specific task rather than a broad promise. Map the steps people take today, identify where judgment matters, and decide what information should never leave the workflow.

A practical way to think about it

Compare the proposed process with the current one using a small, repeatable example. Keep a person responsible for reviewing consequential outputs and document how errors are corrected.

A useful next step

Start with a small, observable experiment. Write down the intended outcome, who owns it, what a good result looks like, and what would make you stop. Revisit the decision with real feedback instead of relying on assumptions.

Frequently asked questions

Who is this for?

This introductory example is for readers exploring the topic and looking for a practical starting point.

Is this a product recommendation?

No. This is general educational content, not a tested review or paid endorsement.