The business value of machine learning does not come from novelty. It comes from helping people in sales make a better decision, reduce avoidable effort, or recognize an important signal earlier. Start with the decision, not the model Machine Learning learns repeatable patterns from operational data. That can be valuable in sales, especially around lead qualification and account preparation. 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, a team…

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