How SwiftTech Support Reduced Ticket Volume by 65% With an AI Agent
SaaS / Enterprise Software
500-1,000 Employees
Austin, TX
Background
SwiftTech Support manages a complex IT infrastructure platform used by Fortune 500 companies. Their support team was overwhelmed by “Level 1” queries—repetitive questions about configuration, password resets, and error codes that were already answered in their documentation. Customers were frustrated by 24-hour wait times for simple answers, and support engineers were burning out from answering the same questions repeatedly.
The challenges
The VP of Customer Success wanted to automate support but refused to use a standard “chatbot.” Standard bots were too generic and often hallucinated, providing incorrect technical advice that could cause liability issues. They needed a solution that was strictly “grounded” in their own technical manuals—an AI that would say “I don’t know” rather than guess, and that could cite the specific documentation page where the answer was found.
“We didn’t want a chatbot that talks; we wanted a chatbot that reads. This system acts like our best engineer is sitting there 24/7, quoting our own documentation back to the customer.“
Sarah Jenkins
VP of Customer Success
The Solution
I built a custom RAG (Retrieval-Augmented Generation) pipeline using Python, LangChain, and a Vector Database.
The Result
The AI Agent was deployed to the help center widget and Slack support channel.
