Overview
A leading fintech startup needed to scale their customer support without proportionally scaling headcount. We built an AI-powered support system using GPT-4 and NLP.
The Challenge
The client was receiving 5,000+ support tickets daily, with response times averaging 12 hours. Manual processing was costly and inconsistent in quality. They needed an intelligent system that could handle common queries automatically while escalating complex issues to human agents.
Our Solution
We developed a custom AI chatbot using GPT-4 fine-tuned on the client's knowledge base. The system uses NLP to classify intent, extract relevant information, and provide contextual responses. A seamless handoff mechanism routes complex queries to human agents with full conversation context.
Development Process
Discovery & knowledge base analysis
NLP model training and fine-tuning
Chat interface development with Next.js
Integration with existing CRM and ticketing system
Testing, iteration, and deployment
Results
45% reduction in support ticket volume
Average response time reduced from 12 hours to 30 seconds
92% customer satisfaction rate for AI-handled queries
60% cost reduction in support operations
Seamless handoff to human agents for complex issues
Technologies Used
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