Vertex Cloud: RAG-Based AI Support Agent & Analytics Console

The Challenge

As enterprise cloud customer volume grew, Vertex Cloud's human customer support team was overwhelmed by thousands of repetitive tier-1 technical inquiries daily. This caused average response times to escalate to 12+ hours, risking enterprise SLA penalties and client churn.

Our Engineering Solution

Falcon Technologies designed and deployed an autonomous AI support pipeline powered by Retrieval-Augmented Generation (RAG):

• Vector Knowledge Retrieval: Embedded complete cloud product documentation and past resolved ticket databases into Pinecone vector storage.
• Autonomous Support Copilot: Integrated LangChain and OpenAI models to resolve 80%+ of incoming tier-1 tickets with precise contextual accuracy.
• Supervisor Control Dashboard: Built a fast React dashboard for support team leads to monitor AI sentiment in real time with 1-click human escalation.

Measurable Business Impact

• 12 Hours to 3 Minutes Resolution: Instantaneous, accurate answers delivered to end customers 24/7.
• 40% Cost Reduction: Support operations scaled without increasing human headcount.
• 10,000+ Monthly Inquiries Handled Autonomously: Human engineers focused exclusively on high-value complex architecture tickets.