Human-in-the-loop
Human-in-the-loop means a person stays involved at defined points of an AI process: they review, approve or take over. In customer service, it means your team decides when the AI replies on its own, when it only writes drafts and when a person steps in.
What does human-in-the-loop mean?
The term comes from automation engineering and describes systems in which a person remains part of the loop. With generative AI it matters even more, because language models sound convincing even when they are wrong (see AI hallucination). Human-in-the-loop makes sure someone on your team looks at the critical moments before anything reaches the customer.
What levels are there?
In practice, three levels work well, and you can pick one per conversation:
| Level | What the AI does | What your team does |
|---|---|---|
| Off | Nothing | Replies itself |
| Assist | Writes drafts | Reviews, edits and sends |
| Auto | Replies itself | Watches and takes over when needed |
Strictly speaking, only the middle level is human-in-the-loop: nothing goes out without approval. Auto is closer to human-on-the-loop, because the team reads along and steps in rather than approving every reply.
Why does it matter in customer service?
An example: a car dealership lets its AI agent answer questions about opening hours and service appointments on its own. Conversations with used car buyers run on Assist, because a wrong price gets expensive. The AI writes the draft, the salesperson reads it, adjusts and sends. The team saves typing without giving up control.
The EU AI Act also asks for openness: customers must be able to tell that they are writing with an AI. More on that under AI transparency obligation.
Who has the final say?
A good setup follows one simple rule: the human wins. When someone on the team writes a reply, a new AI suggestion must not overwrite it. And when a conversation needs a person, the AI steps aside, see human handover.
How does SendSeven handle human-in-the-loop?
With SendSeven AI agents, you choose one of three modes per conversation: Off, Assist or Auto. In Assist mode, the AI writes drafts and your team reviews and sends them. When a team member writes their own reply, their text always wins and no AI suggestion overwrites it. Your team can take over at any time, and the AI can be switched off at any time. Every reply the agent writes is checked against your sources in the knowledge base before it is sent.