Human in the loop means a person reviews or approves what an AI does before it takes effect. The useful question is not whether to have one, but how much oversight each task needs, and for how long.
Three levels of oversight
- Approve every result. A person checks each output before it is used or sent. This is where every new agent should start.
- Review a sample and approve the exceptions. The agent's routine results go through, a person checks a sample, and anything unusual is held for approval.
- Monitor and audit. The agent acts, and people watch the trends, check the record and can step in at any point.
What decides the right level
- The cost of a mistake: a wrong internal note is minor, a wrong payment is not.
- How often mistakes happen, which you should measure rather than guess.
- Whether the action can be undone.
- Who is affected: colleagues, customers or suppliers.
- What your contracts, regulators or auditors expect.
- The volume: review that is realistic at ten items a day may not be at a thousand.
When to reduce oversight
- You have measured accuracy over enough real examples, and everyone involved agrees it is high enough.
- The mistakes reviewers did catch were minor and easy to correct.
- There is a clear way to reverse an action if one turns out wrong.
- You reduce it for one kind of task at a time, not across the whole process at once.
- You keep sampling afterwards, so a change in the input is noticed.
When not to
Keep a person in charge of anything where money leaves the business, where a decision affects a person's job or pay, where a legal commitment is made, or where a message to a customer cannot be recalled. Reduce oversight there only with a strong reason and the right sign-off.
Keep the record
Whatever level you choose, keep a record of what the agent did and who approved it. It answers questions later, and it is how you learn where the agent needs to improve.