workflows·8 min read

AI Workflow for Decision Making

Use AI as a decision partner — pressure-test options, surface blind spots, and document trade-offs.

Draft: we're actively expanding this guide. The structure and key answers below are accurate; deeper examples will follow.

Quick answer. Use AI as a decision partner — pressure-test options, surface blind spots, and document trade-offs.

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Why this matters right now

AI Workflow for Decision Making is one of the most common questions people ask before getting serious about practical AI. The short version is below; the rest of the article gives you the structure to act on it this week.

The practical answer

Use AI as a decision partner — pressure-test options, surface blind spots, and document trade-offs.

  • Should AI make the call — No. It should sharpen the options.

How to apply this at work this week

  1. Pick one real task tied to your job-to-be-done.
  2. Map the manual steps; choose 2 that AI can do well.
  3. Write a structured prompt: role, task, constraints, output.
  4. Add a 60-second review checklist before anything ships.
  5. Run it end-to-end once and capture the time saved.

Mini checklist

  • Pick one weekly task to attach this to.
  • Write the prompt with role / task / constraints / output.
  • Add a review gate before any external send.
  • Ship one artifact this week, imperfect is fine.
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