In short
Prioritise AI use cases by scoring each on customer value, business impact, feasibility and adoption risk, then pilot the top-ranked ones with clear success metrics before scaling.
01
Separate useful AI from theatre
Novelty is not value. Rank use cases against the business outcome they would move and the customer problem they solve.
02
Score consistently
Use the same four dimensions for every candidate — value, impact, feasibility and adoption risk — so comparisons are fair.
03
Pilot before you scale
Run the top-ranked use cases as pilots with defined success metrics and an adoption plan; scale only what proves out.
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