Client Overview

A financial services firm needed an AI-driven solution to process large volumes of PDF-based regulatory documents. Their key challenge was quickly retrieving relevant information from these unstructured documents to assist legal and compliance teams in making data-driven decisions.

Objective

Implement an automated document processing system to extract and index unstructured PDFs.
Enable fast and accurate search for retrieving relevant document sections.
Use AI-powered responses to generate contextual answers based on document content.
Ensure secure and scalable storage for document indexing and retrieval.

Solution Implemented

We developed an end-to-end Retrieval-Augmented Generation (RAG) pipeline using Azure AI services and custom Python-based data indexing, ensuring seamless document processing, search, and AI-driven responses.

  • 1. Document Intelligence (Azure AI Services)

    Extracted text, key fields, and tabular data from scanned PDFs and complex regulatory documents.

    Converted unstructured documents into structured JSON/text for further processing.

  • 2. AI Search (Vector-Based Retrieval)

    Indexed extracted content using Azure AI Search to enable semantic search.

    Implemented vector embeddings to improve the accuracy of retrieved document snippets.

    Allowed natural language queries to find the most relevant document passages.

  • 3. Azure OpenAI for RAG-based Responses

    Used GPT-based AI models to generate contextual, human-like responses based on retrieved document chunks.

    Ensured responses were factually grounded by using only relevant document snippets in the generation process.

  • 4.  Azure Storage Accounts (Scalable Data Management)

    Stored raw and pre-processed documents securely.

    Provided a centralized repository for document indexing and retrieval.

    Ensured scalability and reliability for handling large datasets.

Outcome

Faster Document Retrieval
Reduced document lookup time by 80%, enabling faster decision-making.
Improved Compliance Efficiency
Ensured accurate retrieval of regulatory and legal references, minimizing human errors.
Enhanced AI-Powered Insights
Legal teams could query the system and receive instant, AI-generated responses from relevant documents.
Scalable & Secure System
Azure-based infrastructure ensured high availability, security, and scalability.

Client Testimonial

“This AI-powered document retrieval system has drastically reduced the time our compliance team spends searching through files. The ability to get AI-generated responses based on actual regulatory content is a game changer.”

Tools and Technologies Used

Azure Document Intelligence – Extracted structured data from PDFs.

Azure AI Search – Implemented semantic and vector search for relevant document retrieval.

Azure OpenAI – Generated contextual, fact-grounded responses using GPT models.

Azure Storage Accounts – Provided secure and scalable document storage.

Python & Custom Indexing – Processed and indexed document data efficiently.