Resource - guide
AI Usefulness Filter
Decide where AI is useful, where automation is enough, and where a human should stay in the loop.
Use this when someone says AI should be added but the actual benefit is unclear.
A good AI use case has repeated input, enough context, a clear review path, and a failure mode that will not damage trust, safety, money, or customer relationships.
AI is usually useful for summarizing, classifying, drafting, searching, routing, extracting, and assisting decisions. It is weaker when the source data is messy or the output must be trusted without review.
Ask what happens when the AI is wrong. If the answer is expensive, embarrassing, unsafe, or hard to detect, keep a human approval step.
The goal is not to look innovative. The goal is to save time, improve clarity, or make a system easier to operate without creating hidden risk.
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