CASE PAPER
AI-Based Customer Support Automation
Client Partner: Apex FinTech Inc. (Retail Finance) | Timeline: 14 Weeks
Business Challenge
Client was receiving 15,000+ support queries daily, delaying average response times to 8 hours.
Solution Architecture
We engineered an intelligent customer support agent using LangChain, RAG architecture, and Pinecone vector databases.
Tech Configuration
OpenAI GPT-4 APILangChainPinecone Vector DBNode.js API Middleware
Aligned Services
- AI Integration Services
- 24/7 Monitoring Services
Project Deliverables & KPIs
Through close systems collaboration and automated regression test checks, we hit the client's targets within the timeline.
- Response times dropped to 3 seconds
- 82% queries resolved without humans
- Saved $120,000 monthly
Global Business Impact
"Decreased support backlog queues by 90% and boosted overall customer satisfaction indexes by 35%."
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