When the AI can’t resolve it, hand it off to a human with everything they need to pick up where the agent left off.
No matter how well your chatbot is configured, some conversations have to escalate to a person. That moment is where most AI-support setups quietly fail: the human inherits a transcript, not a situation. They have to re-ask what the user was trying to do, re-read the last ten minutes of clicks they can’t see, and rebuild context the AI already had. The user repeats themselves. Time-to-resolution balloons. CSAT for the escalated conversation drops below the AI baseline.
Autoplay closes that gap. The same product context that scoped the AI conversation gets handed to the human agent: what the user was doing, what they tried, which steps the agent already walked them through, what was suggested and rejected. The human picks up where the AI left off rather than starting from zero.
This is the natural complement to ticket deflection. Deflection answers the question “how many conversations can AI resolve?” — agent copilot answers the question every support leader actually loses sleep over: “and what about the ones it can’t?” Together, they make the entire support funnel faster, cheaper, and more consistent.
Lower average handle time on escalations, fewer “please repeat what you already told the bot” complaints, higher CSAT on human-handled tickets, smoother AI-to-human transitions.