Artificial intelligence becomes useful when it improves a concrete management decision. In operations, generative AI can support more reliable workflows, but only when teams connect the technology to a clearly owned workflow. Start with the decision, not the model Generative Ai turns instructions and context into drafts, summaries, and alternatives. That can be valuable in operations, especially around daily process monitoring. The first design question should therefore be: which decision becomes faster, more accurate, or more consistent? A use case without an accountable decision owner usually remains a demo. Map the current workflow from trigger to outcome. Mark where information is missing, where people repeat manual work, and where delays create business consequences. This exposes the small number of moments where AI assistance can materially change the result. Define a narrow first use case A useful pilot has one target group, one data boundary, and one measurable outcome. For example,…

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