Five9 data highlights a sharp divide between contact center leaders and the customers using their support services. While 96% of business decision-makers say AI-to-human handoffs retain the conversation context, 83% of customers report that they still have to repeat themselves.
The contrast suggests that organizations may view their handoff systems as working effectively while customers experience the process differently. For people seeking help, a transfer that requires them to restate the issue can make an automated support journey feel fragmented.
The findings place the quality of AI handoffs at the center of the customer service experience. Preserving context during a move from an AI system to a human agent is presented as an important expectation, yet the reported customer feedback shows a significant gap between internal confidence and user experience.
That disconnect may make AI-to-human transitions a key area for contact center leaders to examine as automated support becomes more common.
