Extraction Confidence Threshold

Extraction Confidence Threshold is the practice of setting a numeric confidence floor above which a document field is auto-posted and below which it routes to a human reviewer. The framework matters because document automation fails quietly: a 92% accurate extractor on 10,000 invoices produces 800 wrong entries that surface as client escalations, not as tool errors. Agencies that publish the threshold in the retainer scope convert an accuracy claim into a governed process, and they price the review lane as a line item rather than absorbing it. Instabase scores extractions with confidence values so teams can route low-certainty fields to review, while Rossum and Ephesoft expose similar validation queues for invoice and claims work. A practical starting point is a 0.90 floor on monetary fields and 0.75 on dates, revisited quarterly against the client's own error tolerance.