We often see teams present a single F1 score and expect clearance for a pilot. Reviewers then ask which customer segment fails, how the holdout was stratified, and what happens when the class balance shifts next month.
A review-ready pack names the decision the model supports, lists the cost asymmetry of errors, and shows performance on at least three operationally meaningful slices. If a slice is thin, say so — hiding thin cells is worse than admitting uncertainty.
None of this requires new platforms. Spreadsheets and carefully named notebooks are enough if the narrative is honest.