The problem
Support teams had to manually tag and analyze high volumes of customer queries, making it slow for product teams to understand recurring issues.
The solution
An AI agent uses LLM summarization, ML classification, BigQuery-based analytics, and workflow automation to summarize tickets, categorize issues, and surface trends for product and support teams. Each incoming query is converted into a clean summary and tagged by issue type, making recurring problems visible without requiring support teams to manually classify every ticket.
Key results
- 50,000/monthCustomer queries supported
- 8+ hrs/daySaved on manual tagging
- 2 days → minCustomer issue analysis time