Five9 Research: AI Customer Service Trust Hinges on Human Access
New Five9 research finds consumers accept AI handling routine customer service, but trust it only when a human agent remains clearly and easily reachable.
Five9 has published new research showing that consumers are increasingly comfortable with artificial intelligence handling customer service interactions, but their trust in those systems still hinges on knowing a human agent is available if needed. The study indicates that acceptance of AI-driven support has grown, yet it remains conditional rather than unconditional.
According to the findings, customers are not rejecting AI outright. Instead, they appear willing to let bots and automated systems handle routine or lower-stakes interactions, provided there is a clear and accessible path to a human representative when the situation calls for it.
This research lands at a moment when contact centers are rapidly deploying generative AI and conversational automation to cut costs and speed up resolution times. The findings suggest that the technology's usefulness is not in question for most consumers — what matters is how it's designed and deployed within the broader service experience.
For leaders building AI-enabled service operations, the signal is clear: automation adoption and customer trust are not the same metric. A system can be technically capable and still fail to earn confidence if it feels like a dead end. The research reframes the AI rollout conversation from "can we automate this?" to "does the customer still feel in control?"
This finding isn't really about AI capability — it's about perceived control, a core behavioral driver of trust in any service interaction.
Most organizations treat the "escalate to a human" option as a fallback feature, something to minimize because it signals the AI "failed." That's backwards. The visibility of a human safety net is what makes customers comfortable handing routine tasks to AI in the first place — it lowers perceived risk, not usage of the bot itself. Operators chasing automation rates without protecting that sense of an accessible human exit are optimizing for the wrong number: they'll see short-term efficiency gains and a slower, quieter erosion of trust. The fix isn't fewer bots — it's making the human option feel present, not hidden, even when it's rarely used.