AI Support Agent for SaaS
An autonomous AI agent that handles tier-1 customer support tickets, resolves common issues, and escalates complex cases to human agents.
Overview
CloudSaaS Inc. was drowning in support tickets — their team of 5 agents couldn’t keep up with the volume, and response times were climbing past 24 hours. I built an AI support agent that now handles 62% of all incoming tickets autonomously.
The Challenge
The company had a knowledge base with over 800 articles, but finding the right answer for each ticket was a manual, time-consuming process. Tickets came in through email, chat, and a web form, and each needed to be categorized, researched, and responded to.
The Solution
I designed a multi-step AI agent that:
- Classifies each incoming ticket by category and urgency
- Searches the knowledge base using RAG (Retrieval-Augmented Generation)
- Drafts a response based on relevant articles
- Escalates to a human agent when confidence is low or the ticket is complex
- Logs everything for quality assurance and continuous improvement
The agent uses LangChain for orchestration, Pinecone for vector search, and OpenAI’s GPT-4 for reasoning. It’s deployed as a FastAPI service that integrates with the company’s existing Zendesk setup.
Results
- 62% of tickets resolved without human intervention
- Response time dropped from 24 hours to under 2 minutes
- Customer satisfaction increased from 78% to 94%
- Support team now focuses on complex, high-value cases
Technologies used
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