At a medical-device company, the customer support team was repeatedly asked the same questions but each agent handled them differently, so the customer experience varied case by case. The team was overwhelmed: stuck in repetitive work, unable to give each case the attention it deserved, and with no time to improve. Manual triage also led to misclassified cases, and those errors propagated to other teams downstream.
Identified the top 50 customer queries by volume and built AI-assisted automations that take the repetitive work out of the queue: webhook triggers, LLM nodes for classification and drafting, routing logic and structured data processing across the connected platforms.
At least 1.5 hours of manual work removed from the queue every day.
Enhancement#3
