The best AI workflows are not the fanciest ones. They are the workflows a team can repeat even when the original power user is offline or too busy to explain what they did.
Write down the inputs first
A useful SOP starts with source material, required context, and output constraints. If those are missing, the prompt usually gets blamed for a process problem it never had the power to solve.
Separate generation from review
Teams get better results when they stop asking one prompt to do everything. Drafting, QA, tone correction, and final formatting should be treated as distinct steps with distinct checks.
Codify the edge cases
The strongest workflow docs list failure modes too: what to do when the source is thin, facts conflict, or the output feels too generic to ship.