Many companies begin their AI journey with a tool demonstration. A stronger starting point for sales is the work itself: identify a recurring decision, define the desired outcome, and then assess whether predictive analytics is the right capability. Start with the decision, not the model Predictive Analytics uses historical patterns to estimate likely future outcomes. 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…

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