Map the work before choosing a model. Identify the inputs, the decisions people make, and the cost of a wrong answer.
Build an evaluation set from representative cases and compare the AI result with your current process. Launch with a narrow scope, observable behavior, and an explicit path to human review.
Expand only when the evidence supports it.