AI handoff, agent handoff, team handoff: three different things

The short answer

These three phrases sound alike but describe different jobs. An AI handoff usually means a support chatbot passing a customer to a human agent. An agent handoff is one AI agent passing a task to another inside software. A team handoff is one person passing work to a colleague, through their AI assistants.

The difference matters when you look for a tool. Search for an "AI handoff tool" and you will mostly find customer support software. Search for "agent handoff" and you will find developer frameworks. Neither helps when Anna wants to give James the contract she has been working on in Claude. That third case is what Colle does, and it is why we call it a team handoff.

AI-to-human handoff (customer support)

This is the oldest meaning. A company puts a chatbot in front of its support queue to answer routine questions: order status, password resets. When it cannot help, or the customer asks for a person, it hands the conversation to a human agent.

• Who hands off: the bot, usually triggered by a rule ("customer typed agent") or by low confidence in its own answer.
• To whom: the next free person in a support queue, not a named colleague.
• What travels: the transcript, the customer's identity, what they asked for and what the bot already tried.

The classic failure is the customer repeating everything to the human. A good AI-to-human handoff means the agent reads the transcript and starts from where the bot stopped.

Agent-to-agent handoff (multi-agent systems)

The second meaning comes from software built out of several AI agents. Each agent has a narrow job: one sorts incoming requests, one looks up billing, one writes code, one checks the result. When a request needs a different skill, the current agent passes control to the right specialist.

• Who hands off: an AI agent, following logic a developer wrote.
• To whom: another AI agent in the same system.
• What travels: the conversation so far, structured data and the results of tool calls.

No human accepts these handoffs. They happen inside a program, while it runs, and a developer designs what moves between agents. The failure here is context that gets dropped or a request routed to the wrong agent. You fix it in code, not in a meeting.

Team handoff through AI assistants

The third meaning is the newest. Many people now work with an assistant such as Claude or ChatGPT. Anna spends an afternoon in Claude on a client contract: she uploads the draft, works through the terms, agrees a price. Then she goes on leave, and James takes over.

All of that context sits in a chat only Anna can see. So the handoff turns into an email, a hunt for the right file, a "what was the deadline again?" and one more call.

• Who hands off: a person, by telling their own assistant what to pass on and to whom.
• To whom: a named colleague, or a team space where one member picks the work up.
• What travels: a summary, the key facts (dates, amounts, decisions), the files and the history of earlier handoffs.

The receiver is a person who has to accept the work and own it. That changes what the handoff needs: a deadline, a status, and a way to say "this is missing something" and send it back.

With Colle, Anna tells Claude:

James gets a notification with who sent it, what it is and by when. He accepts it, asks his own assistant "what did I get?" and carries on with the summary, the facts and the file. He can use Claude or ChatGPT; Anna's choice does not decide his. More on how it works.

Comparison table

Two quick tests tell them apart. First: is a human receiving the work? If not, it is agent-to-agent. Second: is the human a customer or a colleague? A customer's conversation going to a support agent is AI-to-human. A colleague's work going to another colleague is a team handoff.

What a good handoff contains in all three

The senders and receivers differ, but the contents of a good handoff barely change.

1. Objective. What the work is for. In support: what the customer is trying to do. Between agents: the user's original request. Between colleagues: the outcome and who it is for.
2. State. Where the work stands now. What is done, what is half-done, what has not started. Without this, the receiver redoes finished work.
3. Decisions. What has been settled and why. A support bot that already offered a refund must say so. A colleague who agreed €12,400 with a client must say so, and the receiver must see it as a decision, not a suggestion.
4. Files. The documents the work depends on, in their current versions. Agents pass data; people pass the actual contract, not a description of it.
5. Owner. Who is responsible now. In support it is the agent who picked up the chat. Between agents it is the agent holding control. In a team it has to be a named person, or the work belongs to no one.
6. Next action. The one thing that happens next, and by when. "Send the signed draft back by the 20th" is a next action. "Have a look" is not.

In a team handoff, the last two are easy to miss. A chat summary pasted into an email has the objective and the state, but rarely says who owns the work now or what happens by Friday. That is why Colle records the owner, the deadline and the status (sent, accepted, done, returned, overdue) with every handoff, and keeps facts like dates and amounts with their history. If you want to continue a colleague's Claude work without one, the same six parts make a good list of questions to ask.

FAQ

Is Colle an AI handoff tool?

Not in the support sense. Colle does not pass customers from a bot to a human. It passes work between colleagues, through their own assistants. We describe it as team handoffs for Claude and ChatGPT.

Can the same company need all three?

Yes, and they do not overlap. A support team can run a chatbot with an AI-to-human handoff, developers can build an internal tool with agent-to-agent handoffs, and the whole company can still hand work to each other through their assistants.

Do both colleagues need the same assistant for a team handoff?

Not with Colle. A handoff sent from Claude can be picked up in ChatGPT, and the other way round. Sending from ChatGPT needs ChatGPT Business or Enterprise. Read more about Colle in Claude, see how Claude Tag in Slack compares, or check pricing.