Use an impact-effort matrix to sort AI use case candidates into action categories.
Effort Impact Low effort High effort Low impact High impact Quick learning High impact / Low effort Good first discovery candidates. Example: AI-assisted invoice exception triage using existing labels and a clear reviewer. tl Strategic bet High impact / High effort Potentially valuable, but needs assumption tests, sponsorship, risk review, and phased scope. Example: AI planning across supply and demand. tr Nice-to-have Low impact / Low effort May be useful as a side improvement, but should not consume scarce discovery attention. Example: internal FAQ polishing. bl
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