Accelerating Proposal Analysis with RAG-powered AI Solution

AI-powered automation for RFI/RFP document analysis

Accelerate Proposal Analysis with RAG-powered AI

Large organizations regularly receive complex RFI/RFP documents that are time-consuming to review and analyze. Key business information such as scope, requirements, evaluation criteria, and legal clauses are often buried in lengthy, unstructured PDFs or Word files, requiring manual effort from proposal and business development teams.

Details

We developed an AI-powered Retrieval-Augmented Generation (RAG) system using Azure OpenAI, Azure Cognitive Search, and Azure Blob Storage to streamline and automate the proposal analysis process.

Technology Stack

Azure Blob Storage – Centralized storage for incoming RFI/RFP documents.
Azure AI Search – Indexed documents for semantic and keyword-based retrieval.
Azure OpenAI (GPT-4) – Powered summarization and contextual Q&A.
RAG Architecture – Dynamically retrieved document content for high-accuracy answers and summaries.

Business Functionality

Automatically summarizes key sections of RFI/RFPs, including Project Scope, Executive Summary, Business Requirements, Evaluation & Scoring Criteria, Legal & Compliance Information.
Enables interactive Q&A for business users to query documents using natural language.
Integrates with internal tools for quick decision-making and response drafting.

Impact

80% reduction in manual document review time.
Improved accuracy in identifying critical requirements and compliance risks.
Faster go/no-go decisions for proposal teams.
Enhanced collaboration between business development, legal, and technical stakeholders.

Key Features

Intelligent Data Analysis
Automated Decision Making
Enhanced Customer Experiences

Azure OpenAI

RAG

Azure Search

Blob Storage