RAG-powered support automation with human handoff
Integrations
Time Saved
Intelligent customer support system using RAG and Claude API to handle 80% of inquiries automatically while seamlessly escalating complex issues.
Customer support teams overwhelmed with repetitive tickets experience slow response times and customer frustration, while agents spend time on queries that could be automated.
RAG-based AI agent that understands context from knowledge bases, provides accurate instant responses, and intelligently escalates complex issues to human agents.
Reduced average response time from 4 hours to 30 seconds, improved customer satisfaction by 40%, and freed support team to focus on high-value complex issues.
Uses vector embeddings for semantic search, context window management, and confidence scoring for escalation decisions.
Time Saved
30+ hours per week
Automation Rate
80% ticket automation
Implementation
2000+ customers served
I can implement this automation for your business or teach you how to build it.