An update loop captures corrections and uses them to refine routing, tagging, and reply suggestions.
Update Loop is the process of improving automation using real corrections. When a user reassigns an email, changes a label, or rejects a suggested reply, that action is valuable training data. A good email platform uses it to adjust rules, reduce false triggers, and improve future suggestions. The loop is most effective when corrections are easy to make and when changes are transparent so teams know what improved and why.