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AI Leverage Score

Most AI initiatives fail not because the model is wrong but because it was pointed at a low-leverage problem. This assessment scores your operation across the four factors that determine whether machine intelligence compounds — task repetition, data availability, tolerance for error, and decision value — and returns a leverage score with a concrete recommendation.

  1. 1.How repetitive is the task you want to point AI at?
  2. 2.How much relevant, usable data do you already have?
  3. 3.What happens when an output is occasionally wrong?
  4. 4.How much does getting this right matter to the business?
  5. 5.How easily can a human verify or correct the output?

Answer all 5 questions to see your leverage score.