Human-in-the-loop (HITL) refers to the practice of involving human reviewers in an AI workflow to check, correct, or improve the system’s performance. In voice platforms, this might mean reviewing transcriptions, confirming intent detection, or approving bot actions in real time. HITL ensures quality, provides training data for improvement, and helps manage complex or sensitive scenarios that AI may not handle accurately on its own.
