Begin with a measurable friction.
A list of AI ideas is not yet an investment plan. Some ideas are interesting but distant from an operational priority. Others address a real problem but depend on information, skills, or controls that are not ready. The first task is to separate the business need from the proposed technology.
Ask what happens today. Where does work slow down? Which decisions create rework? Who spends time reconciling information? Establish a baseline that reflects the problem: review time, exception volume, error rate, handoff quality, or another measure the process owner already understands.
Compare opportunities on the same basis.
Evaluate value, readiness, effort, and risk together. Make benefit assumptions visible, and include preparation, delivery, support, evaluation, and running costs. A high-value idea with unresolved access or ownership may belong in preparation while a smaller, bounded opportunity moves into a pilot.
A simple portfolio can use three decisions: pursue, prepare, and defer. Pursue means there is a useful scope that can be tested after agreed prerequisites. Prepare means the opportunity deserves specific groundwork. Defer means the current evidence does not justify the next investment. Record the reason so the decision can be revisited.
Choose a boundary people can operate.
For example, reviewing existing inventory exceptions may be a more suitable starting point than automatic purchasing. The first workflow can bring approved records together, explain a rule-based exception, and prepare options for a planner. Purchasing introduces separate commitments, approval limits, and failure consequences.
A smaller boundary is useful when it preserves the learning you need. It should still involve real users, representative cases, and the systems or data that matter. A disconnected demonstration may prove that a model can produce an answer without proving that the company can use it.
Define success before building.
Agree who will review the results and what evidence will determine the next step. Separate technical quality from business usefulness: correct calculations and controlled access matter, but so do review effort, adoption, operating cost, and whether the workflow improves the decision it was designed to support.
Finish the selection with a short use-case brief: problem, owner, baseline, scope, sources, controls, prerequisites, evaluation plan, and decision gate. That brief creates a clear handoff from strategy to delivery. It also protects the team from treating a successful pilot as automatic permission to expand the scope.