Document extraction is useful because the model fills the form faster than a person. It is dangerous if that form is saved as fact. I put the review in the middle.
The pipeline calls the LLM, stores the suggestion, and opens a review screen. Cost and rate limits wrap the call so a loop cannot run the bill up. Nothing reaches the operational tables until a person confirms it.
On the automation platform that cut average handling time by 60%+. The hospital system uses the same rule: AI suggests a classification from a clinical document, and a clinician confirms it before the save.
The model is a fast colleague. The person who knows the document still owns the write.