Human-in-the-loop systems place people at the steps where judgment, accountability, or risk is highest. An AI may draft an email, extract values from a document, or propose an action, but a person approves the send, confirms the values, or authorizes the action.
The approach is not a sign that the AI is weak. It is how responsibility is assigned. It also produces valuable feedback, because every correction is an example of where the system needs to improve. Well-designed review steps are fast, show the evidence behind the AI's output, and record the decision.