A useful AI project begins with a repeated task, not a model choice. Identify work that consumes time and has a result your team can evaluate.
Map the inputs
Understand where information comes from, who can access it, and whether it contains sensitive material.
Set an evaluation baseline
Use representative examples and include difficult cases. Compare quality, turnaround time, and cost against the current process.
Keep a route to human review
Plan for uncertain outputs and failed integrations. A well-designed handoff is part of the product, not an afterthought.