Why AI Handoffs Still Make Customers Repeat Themselves
Twilio’s Sam Richardson explains why customer context, identity, and reassurance must travel between AI, human agents, and channels. AI customer service may be getting faster and more conversational, but too many customers are still being forced to repeat themselves when they move between bots, agents, and channels. In this CX Today interview, Rhys Fisher speaks with Sam Richardson, Director of Executive Engagement at Twilio, about the real challenge behind AI handoffs: ensuring that customer context, conversation history, identity, and trust travel with the interaction. Twilio research found that 74% of consumers have to repeat information to AI assistants at least some of the time. Richardson explains why this is not simply an AI-model problem. It can stem from fragmented customer data, disconnected systems, incomplete CRM and knowledge-base integration, and the growing complexity of identity verification and fraud prevention. The conversation explores: Why customers still repeat information after an AI interaction The data and system challenges behind failed AI-to-human handoffs Why identity verification can make continuity harder What a “warm handoff” should look like in the AI era Why acknowledgment and reassurance matter during service transfers When slower AI deployment can protect customer trust Why businesses and customers often judge the same AI experience differently The key question for contact center leaders is simple: when an AI interaction ends, does the next person or channel know what has already happened, or does the customer have to start again?






