Do AI chatbots learn from live agent corrections?
Some do, but usually not by retraining the model in real time. Better AI support tools capture agent edits, handoffs and resolved tickets, then propose updates to knowledge articles, instructions or examples that a person approves. This improves accuracy over time while keeping control over what the AI says.
How learning from corrections works
Why approval matters
Automatic learning from every correction can spread mistakes. Human review keeps quality high.
DevRev example
DevRev’s Customer Agent reviews conversations weekly and proposes fixes you approve, edit or dismiss, and drafts knowledge articles for repeated unanswered questions.
