Case Study
Fern AI Assistant
AILLMCustomer Support
Year
2025
Duration
4 months
Team
3 engineers
An AI-powered customer support agent for a fintech company. Built with RAG, vector databases, and custom fine-tuned models. Reduced ticket volume by 60%.
The challenge
A fintech client was drowning in support tickets. 70% of questions were repetitive (password resets, transaction status, fee explanations), but the team couldn't just use a chatbot — customers needed accurate, compliant answers.
Our solution
We built a RAG system with a vector database of their knowledge base, fine-tuned a model on their tone and compliance requirements, and added guardrails to refuse to answer anything outside scope.
Results
- ✓ 60% reduction in ticket volume
- ✓ 94% accuracy on compliance questions
- ✓ Average response time: 8 seconds
- ✓ Customer satisfaction up 22%
Tech stack
PythonOpenAIPineconeFastAPILangChainDocker
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