An SME should prioritize AI uses by the problem solved, the effort required and the consequences of failure. A fashionable application is not necessarily a better first project than a small task with clear inputs and measurable value.
List recurring tasks and their current cost, delay or error burden. Check data availability, process ownership and whether the team can judge a correct result. Separate low-consequence drafting from decisions that affect payments, safety, legal rights or customer commitments.
Choose a pilot with an observable outcome and a practical fallback. Compare its results with the current process, including review and correction time. Reject a promising demonstration if it cannot handle the exceptions that occur in normal work.
Scale only after the evidence supports the intended workflow. Record why alternatives were deferred and revisit them when prerequisites improve. A priority matrix should guide decisions rather than hide uncertainty in a single total score.
Open Sources Used
This page uses open and institutional references as a frame; the final decision still belongs to the company record, threshold and owner.
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