Automated customer service without losing the human touch | Decagon

This post details how Decagon designs AI-powered customer service systems to balance automation with human interaction, focusing on resolution over deflection. It outlines principles for effective AI-to-human handoffs, including visible exits, context transfer, and channel continuity. The post also addresses preventing AI hallucinations through ground-truth enforcement, real-time monitoring, and gradual rollouts, and emphasizes measuring true resolution rate, re-contact rate, and abandonment by step as key metrics for evaluating automation success.