Escalation & Handoff Design

Every AI system encounters situations it can't handle. How those situations are identified and handed off to humans determines whether the system fails gracefully or catastrophically. Good escalation design starts with the AI system itself being able to recognise its own limitations - identifying when a query is outside its training, when its confidence is too low, or when the situation calls for human judgement that it can't provide. Then there's the handoff: providing the human responder with enough context to take over effectively, without requiring them to start from scratch. A customer who's been chatting with an AI for ten minutes and then gets transferred to a human agent who asks them to repeat everything has experienced a failed handoff. The mechanics of escalation also matter. If escalating is difficult or creates extra work for the AI's handlers, there's an incentive to avoid it - which means borderline cases get handled by the AI when they shouldn't be. Well-designed escalation is effortless to trigger, provides full context to the human taking over, and doesn't penalise the system or its operators for acknowledging limitations.