Client

Fintech Startup (Series B)

Duration

4 Months

Tech Stack

PythonOpenAI GPT-4LangChainReactPinecone Vector DBAWS ECS
Enterprise AI Support Agent Primary UI

The Challenge

A fast-growing Series B fintech startup was experiencing a massive 300% surge in user growth, which unfortunately overwhelmed their lean customer support team. Support agents were bogged down answering basic "how-to" queries, password resets, and simple account status checks. This resulted in unacceptable 24+ hour response times for critical, time-sensitive issues, severely damaging customer trust and App Store ratings. They needed a way to automate Tier-1 support instantly without sacrificing the personalized, highly secure experience their financial brand was known for.

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Our Solution

Praxora Technologies designed and deployed a custom RAG (Retrieval-Augmented Generation) pipeline using LangChain, OpenAI GPT-4, and Pinecone. We securely indexed their entire internal knowledge base, FAQs, and regulatory compliance documentation into a vector database. We then built a secure, React-based chatbot interface that seamlessly embeds into their web and mobile apps. The AI can accurately answer complex product questions by citing specific documentation. For authenticated users, the bot can securely query internal APIs via highly restricted functions to provide real-time account statuses (like transaction history or loan approval status) while maintaining strict SOC2 and GDPR compliance.

Enterprise AI Support Agent Analytics View

The Results

  • Successfully deflected 45% of all incoming Tier-1 support tickets within the first 30 days of launch.
  • Plummeted average customer response time from 24+ hours to under 3 seconds.
  • Achieved a phenomenal 92% customer satisfaction score (CSAT) purely on automated AI interactions.
  • Freed up human agents to focus exclusively on high-value, complex edge cases and VIP account management.
Enterprise AI Support Agent | Praxora Technologies