Why It Matters
AI systems are excellent at handling predictable, repetitive interactions, but they have limits. Some conversations require empathy, creative problem-solving, authority to make exceptions, or specialist knowledge that the AI does not have. The quality of the handoff moment defines the customer’s experience. A smooth handoff, where context is preserved, the transition is quick, and the human picks up where the AI left off, feels effortless. A poor handoff, where the customer is dumped into a queue with no context and has to explain everything again, is worse than having no AI in the first place. Getting handoff right is what separates AI that builds trust from AI that destroys it.
Example
An energy supplier uses an AI agent to handle billing queries. A customer contacts the chatbot about an unusually high bill. The agent pulls up the account, explains the usage breakdown, and answers two follow-up questions. The customer then reveals they have been struggling financially and asks about hardship support. The agent recognises this as a sensitive topic outside its scope, flags the conversation as requiring a specialist, and transfers it to a trained vulnerability advisor. The advisor receives the full conversation transcript and the customer’s account summary, so they can immediately focus on helping rather than gathering information the customer has already provided. Our knowledge center goes deeper into whether AI agents can work with human handoff in practice.
