Multi-Agent Customer Support System
Key Results
- 60% cost reduction in operational expenses
- 100% routing accuracy across 15+ test scenarios
- Sub-2-second response times
- 24/7 service availability
The Problem
Customer support operations faced high costs and inconsistent response quality. Manual ticket routing was slow and error-prone, leading to customer frustration and operational inefficiency.
The Approach
Built a production-grade multi-agent system powered by Google Gemini, featuring two specialized agents: a Policy Agent using RAG to answer policy questions from company documentation, and a Ticket Agent handling database operations for ticket creation and status lookups. An orchestrator agent routes queries to the appropriate specialist based on intent classification.
The system was built with FastAPI for high-throughput serving, with comprehensive logging and monitoring for production reliability.
The Results
The multi-agent system achieved 100% routing accuracy across 15+ test scenarios, with sub-2-second response times. Operational costs were reduced by 60% compared to the previous manual process, while maintaining 24/7 service availability.