AI Customer Support Agent

The client's support team was overwhelmed with 5,000+ tickets per month, leading to long response times and customer churn. Over 60% of tickets were repetitive questions about billing, password resets, and onboarding.

We designed and deployed a multi-model AI agent powered by GPT-4 and fine-tuned on the client's knowledge base. The agent uses RAG to pull context from help docs, ticket history, and product documentation. A human-in-the-loop escalation path routes complex issues to senior agents.

Within 4 weeks, the AI agent was resolving 80% of all incoming tickets autonomously. Average response time dropped from 4.2 hours to under 3 seconds. Customer satisfaction improved by 32%.