Customer Support AI Agent for Nipun  

Context / Problem Statement:

Nipun Engineering Sdn Bhd is a leader in precision engineering and industrial automation. However, their technical support team faced a growing bottleneck: managing a high volume of repetitive inquiries regarding complex product specifications, fabrication capabilities, and maintenance protocols.

Much of this vital information was "trapped" inside dense, unstructured PDF manuals and technical FAQ documents. Customers and internal staff often spent significant time manually searching through these files for specific data, leading to delayed response times and under-utilized engineering resources.

AI-Augmented Solution:

I designed and deployed Nipun CS, a sophisticated AI Support Agent that leverages a Retrieval-Augmented Generation (RAG) architecture to transform static PDF documentation into a conversational, 24/7 knowledge base.

• PDF Intelligence: Implemented an automated pipeline to ingest, chunk, and index technical PDF documents into a vector database for high-precision retrieval.

• Contextual Accuracy: By utilizing RAG, the agent ensures every response is grounded in Nipun’s official documentation, virtually eliminating hallucinations.

• Intuitive UI/UX: Built a seamless interface that allows users to ask complex engineering questions and receive structured, easy-to-read answers instantly.

AI Stack / Tools Used:

• Flowise AI: For low-code orchestration of complex AI workflows and multi-agent logic.

• RAG (Retrieval-Augmented Generation): To bridge the gap between Large Language Models and Nipun's private technical data.

• Vector Databases: For efficient semantic search and retrieval of PDF content.

• OpenAI GPT-4: As the reasoning engine for natural language understanding and response generation.

• PDF Parsing Engine: Optimized for extracting data from technical layouts and tables.

Outcome & Business Impact:

• Instant Knowledge Access: Reduced the average time to find technical specifications from minutes to seconds.

• 24/7 Support Readiness: Automated over 60% of repetitive technical inquiries without human intervention.

• Scalable Intelligence: The system can be expanded to include new fabrication manuals or SOPs in minutes by simply uploading a new PDF.

• Engineers Refocused: Allowed senior engineering staff to focus on high-value custom design projects rather than basic data-retrieval support.

My Role:

I acted as the Lead AI Architect and Product Strategist. I spearheaded the project from initial problem discovery and technical stack selection to the design of the RAG pipeline and final deployment. I ensured that the solution wasn't just technically sound, but also aligned with Nipun's commitment to precision and customer-centric service.