The term comes from systems engineering, but its business meaning is simple: the AI moves last only with permission. In a human-in-the-loop invoicing flow, the AI reads the agreed quote, drafts the invoice, and stops; the invoice posts when the owner approves it. Contrast that with full autonomy, where the invoice would post the moment the AI decided it should.
The model earns its keep where errors are expensive and context is human. A drafted payment reminder might be technically correct and still wrong, because the customer called yesterday to dispute the order. The reviewer knows that; the model does not. Human-in-the-loop puts that knowledge at the exact point where it matters, the moment before execution, at a cost of seconds per action.
A common misconception is that the loop makes automation pointless. In practice the slow part of admin work is composing and cross-checking, which the AI still does; the human contributes a decision, not labor. Small business example: a wholesaler clears eleven prepared actions, invoices, order confirmations, one refund, in six minutes over coffee, having written none of them.
See the term in practice
Connect your tools read only and watch the approval queue prepare real actions from your own context. Nothing sends until you approve it.