An AI support agent now resolves the majority of tickets automatically — with zero added headcount and around-the-clock coverage.
Customer growth was outpacing the support team's capacity. The vast majority of incoming tickets were repetitive — password resets, billing questions, setup steps already covered in the docs — but they still consumed hours of agent time every day, pushing out response times on the genuinely complex cases that needed a human.
Analyzed a full quarter of ticket history to identify the recurring intents actually worth automating first.
Trained an AI support agent on the help center, docs, and past resolved tickets, then integrated it directly into the existing helpdesk.
Built automatic escalation so anything ambiguous, high-value, or emotionally charged routes straight to a human agent with full context attached.
Weekly review of deflected vs. escalated tickets to keep refining responses and closing gaps in the knowledge base.
Average response time dropped 70%, and the AI agent now resolves the majority of incoming tickets end-to-end. The support team held its headcount steady through continued customer growth, and CSAT scores held flat rather than dipping — the usual risk when support gets automated too aggressively.
“We were about to open two more support hires. Instead we automated the repetitive 70% of volume and our existing team handles everything else comfortably.”