Business Requirement Document Intelligent Agent

Business Requirement Document Agent

Problem Statements:

Organizations struggle to derive structured business requirements from fragmented, noisy communication across emails, meetings, and chats. Critical decisions, stakeholder inputs, and timelines remain buried within unstructured conversations, making manual analysis inefficient, error-prone, and time-consuming, and hindering timely, data-driven project execution.

The BRD-Agent project is an AI-powered Business Requirement Document Intelligence System designed to automate the conversion of raw enterprise communication into structured BRDs (Business Requirement Documents). In most organizations, critical requirements are buried across emails, meeting transcripts, and chat logs, making manual requirement creation time-consuming, error-prone, and inefficient. This project solves that challenge with a Retrieval-Augmented Generation (RAG) pipeline that ingests CSV data exports of emails and transcripts, processes and embeds the content using semantic search, and generates a comprehensive BRD with functional requirements, non-functional requirements, key decisions, stakeholders, and timelines. The frontend is built in React, offering a clean interface for file upload and BRD preview, while the backend uses modern AI workflows (embeddings, vector search, and LLMs) to extract meaningful insights and produce accurate, structured outputs. This solution demonstrates practical AI application in enterprise documentation and significantly reduces time and effort for requirement engineering.

Key Features :

• Upload CSV files of emails and meeting transcripts

• RAG-based processing for accurate context retrieval

• LLM-driven BRD generation with structured sections

• Frontend UI in React for file upload and result display

• Reduces manual documentation effort and error

• Easily extensible to different enterprise data sources