A customer spent 12 minutes typing out their problem to your bot. The bot could not solve it. The bot says "let me get you a human." A human joins the chat. The human says: "hi, how can I help you today?"
This is the worst thing in customer support and almost nobody talks about it. The bot learned everything about the customer, then it forgot all of it the second it failed.
The handoff should be the exact moment the bot is most valuable. It is the moment where the human rep is about to join and they need to be brought up to speed as fast as possible. A good handoff includes three things. A summary of what the customer asked. A list of things the bot already tried. A best guess at what the bot thinks the customer actually needs. That is it. Three bullet points. Delivered to the rep before they say hello.
When we retrofit this into a client's support stack, handle time drops by about 40 percent on the handoff tickets. Not because the AI did the work. Because the human did not have to restart.
The reason this does not happen by default is that most chatbots and most ticketing systems are built by different teams, and the handoff is a seam. The bot writes to one database, the ticketing tool reads from another, and the summary the rep needs never gets populated. You end up with a system that technically works and functionally wastes everyone's time.
The same thing applies to voice agents that escalate. If the agent takes a call and has to punt it to a human, the human should pick up the phone with the transcript already on their screen. No "let me pull up your account." No "can you tell me what happened again." That conversation was already had. Reusing it is not a nice-to-have, it is the whole point.
If you are evaluating a conversation bot right now, skip the demo and ask one question. What does the handoff look like. If the answer is "we transfer the chat" and nothing else, keep shopping. If the answer is "we give the rep a summary, the history, and a recommended next step," you are looking at something built by people who have actually worked in support.