Human-in-the-loop AI means a person sits inside the process an AI agent runs, able to see and correct an answer before or immediately after it goes out, rather than reviewing a sample of its work weeks later. The difference is not who reads the least. It is whether oversight is a setting the system enforces or a habit somebody has to remember to keep up.
Review is one of the mechanisms a governance framework relies on, not a separate practice sitting beside it. What a framework actually is, and the other questions it answers alongside review, are covered in the AI governance glossary.
Approval is a yes or no placed at one step of a job, most often the handoff between two agents, rather than a review of everything an agent has ever produced. Which handoffs need a person to say yes first is a choice made per pipeline, so a low-stakes step is not held up for the sake of the one that would actually be expensive to get wrong.
Oversight is not one setting, it is a choice of how closely an agent is watched: off for a team that does not need it, reactive so a flagged answer is checked after it is sent, or proactive so it is held before it reaches anyone at all. Different teams under the same company can sit at different levels, because not every team carries the same risk.
In practice, review is a queue a person works through, not an inbox they have to remember to check: the flagged answer, the question that produced it, and the document it came from, all on one screen. A reviewer corrects the answer itself in place, rather than filing a note about it somewhere else that a future reader has to go looking for.
Every agent needs a fallback for the moment it does not know the answer, and that fallback is a setting rather than something left to chance: refuse, hand the conversation to a person, or pass it to another agent better suited to the question. Set once per agent, and changed whenever you like.
An approval workflow is governance mode and pipeline handoffs working together: reactive or proactive decides when a person is shown an answer, and the handoff checkpoints decide where inside a multi-step job that happens. The two combine rather than compete, so a company can hold only the one step in a ten-step workflow that is actually worth a person's time.
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