Human-in-the-Loop

Human-in-the-loop refers to a system design in which a human reviews and approves AI outputs or decisions before they take effect. Rather than fully automating a process, human-in-the-loop keeps a person involved at the judgment points that matter most. For most business applications, human-in-the-loop is the right default: AI handles the systematic, high-volume work; humans handle the decisions that require context, relationships, and accountability.

As AI reliability improves in specific domains, the loop can be loosened — but for consequential decisions, human review remains essential.