AI chatting online with your leads and clients still needs someone on your team to watch what it says, step in when it should, and learn from the conversations. On the levelpartner.ai platform every AI conversation appears in Conversations alongside your team's own messages, so supervision happens in the same inbox. This article answers how to supervise AI conversations day to day: who watches, what they look for, how to take over a live chat, and how to turn what you see into better answers.
Supervision is a role, not a hope
Once an AI agent answers on its own, the risk is not one bad reply. It is a pattern of bad replies that nobody notices for a month. Supervision catches the pattern early. It needs an owner, a routine and a small set of things to look for.
In a firm of 10 to 250 people, the owner is usually whoever runs sales operations or client service. They do not need technical skills. They need to know what a good answer looks like and have authority to change the agent's knowledge and instructions.
What to look for
Wrong facts. The agent stated something untrue about your services, hours or process.
Missed hand-offs. The contact wanted a person, or raised something sensitive, and the agent carried on.
Stalled conversations. The contact stopped replying, often after a long answer or a question too many.
Missed opportunities. The contact showed buying intent and the agent did not offer a next step.
Before you start
- AI agents running on at least one channel.
- A named supervisor and a backup.
- Permission for the supervisor to edit agent knowledge and instructions.
- A simple log, such as a shared document, to note issues and fixes by date.
The routine
The supervisor's week has a fixed shape. Each morning, check that every conversation the agent handed over was picked up. Twice a week, read ten AI-handled conversations chosen at random. Log each issue by type: wrong fact, missed hand-off, stall or missed opportunity. Fix wrong facts in the knowledge base the same day, and once a week read the log for patterns and adjust the agent's prompt. Make sure the user who receives handovers has notifications on for conversations assigned to them.
How to set it up
The inbox does most of the work. Filtering by tag is the quickest way to find handovers, because the handover action adds a tag you choose.
- Open Conversations.
- Open an unread conversation; it scrolls to the New divider.
- Use the Filter icon to filter by channel, tags, owner and date.
- On a call card, click View Transcript to read a recorded call.
- Use the channel selector in the composer to switch channels.
- Select Internal Comment for a private note to colleagues.
Taking over a live chat
Sometimes you see a conversation going wrong while it is still happening. Reply in the thread as yourself, and make sure the agent is not still answering: a Human Handover pause or switching the bot off for that contact keeps it out of the way. Say who you are and pick up the thread without making them repeat themselves. When you are done, decide whether the agent should resume or the contact should stay with a person.
Say the operations lead reads ten AI conversations on Tuesday and Friday mornings, about twenty minutes each time. Suppose the first month's log shows six wrong facts, all traced to one outdated service page, and a pattern of chats stalling after a four-sentence answer about pricing. Removing the page and shortening the pricing answer would address both, and the next month's log would show whether it did.
What supervision replaces
It replaces the blind trust that leads to surprises, and the panicked reaction when a client forwards a bad answer to a partner. It also replaces guesswork about what customers ask. The supervisor's log becomes a record of real questions, useful for your website, your sales scripts and training new staff.
The mistake most firms make is reviewing only the conversations that went badly. You also need to read ordinary ones. That is where you find answers that are technically correct but too long, or the polite conversation that never offered a meeting.
Weekly running time
About an hour a week in the first two months, falling to thirty minutes once the log goes quiet. If the log stays busy, the agent's knowledge base needs work, not more supervision.
When to pull the agent back
If you find a wrong fact with legal or financial weight, such as a misstatement about fees or a regulated topic, switch the agent to Suggestive mode, so staff approve each draft, until it is fixed. Do the same after any big change to services or prices. Moving back to Auto-Pilot once things are fixed takes a minute.
Troubleshooting
The agent keeps replying after a person joins. Nothing paused it. Configure the Human Handover action with a pause period, or switch the bot off for that contact while you handle it.
The supervisor misses hand-offs. Notifications are going to email only. Add mobile or in-app alerts and a backup person.
Hard to tell AI replies from staff replies. Filter by sender or use the agent's name consistently so its messages are easy to spot.
The same issue keeps coming back. It is being patched in conversations, not fixed at source. Update the knowledge base or instructions, then retest.
Frequently asked questions
Can I see AI chatting online in real time?
Yes. AI conversations appear in Conversations as they happen, and you can open any thread to watch or join. Most supervisors check in periodically rather than watching live, and rely on hand-off alerts for urgent cases.
How many conversations should I review?
Ten a week, picked at random, is enough to spot patterns for most firms. Read more after any change to the agent or your services. Read every hand-off, because those are the moments a person was needed.
Who should supervise the AI?
Someone close to customers with authority to change answers, often a sales or client services lead. Avoid giving it to IT alone, since the work is judging answers, not fixing software. For the wider customer side, see AI customer support, a chat bot for your website and AI chat open.