Reviewing AI support conversations to improve answers
The support workflow includes regularly reviewing AI chat logs to identify incorrect responses, missing knowledge, and recurring customer confusion, then refining the support content accordingly.
Why the human is still essential here
A human is needed to audit conversations, correct mistakes, update the knowledge base, and ensure the AI stays accurate and aligned with the actual customer experience.
How people use this
Transcript accuracy audits
A manager reviews bot conversations each week to catch wrong policy answers, confusing phrasing, and responses that should have been escalated sooner.
MaestroQA / Zendesk QAKnowledge gap detection
AI analyzes support transcripts to surface repeated unanswered questions so the team can add missing FAQs, help articles, and approved responses.
SupportLogic / Zendesk AIBot handoff review
Teams inspect chats that escalated to humans to understand where the bot failed and improve intents, training data, and support workflows.
Klaus / MaestroQA