Project Title 

AI-Powered Document Automation with Azure Document Intelligence 

 About the Client 

The client is a rapidly growing enterprise dealing with high volumes of varied documents across multiple departments. They required an intelligent automation solution to streamline the extraction, classification, and structured storage of key data from incoming documents—primarily received via email. 

 Business Challenges 

• Manual document processing was slow, labour-intensive, and error-prone. 

• Documents arrived in diverse formats and structures, making standardized extraction difficult. 

• High accuracy was essential to meet strict compliance and operational standards. 

• The solution needed to align with and integrate seamlessly into the client's existing Azure-based infrastructure. 

Our Solution 

We implemented a fully automated, AI-driven document processing platform using Azure Document Intelligence alongside other Azure-native services. The solution includes: 

1. Document Intake

• Incoming emails with attachments are processed via Azure Logic Apps. 

• Attachments are extracted and saved into Azure Blob Storage. 

2. Automated Processing

• A Blob-triggered Azure Function activates when a new file is added. 

• This function invokes a trained custom model in Azure Document Intelligence to analyze and extract structured data. 

3. Custom Model Strategy

• Employed both template-based and neuro-based custom models for high accuracy across different document types. 

• Leveraged custom classification and compose models to identify document types and extract data accordingly. 

4. Data Post-Processing & Storage

• The processed and validated data is stored in Azure SQL Database for downstream use and analytics. 

5. Security

• Secrets and sensitive configurations are securely managed via Azure Key Vault. 

• Application built using ASP.NET Core Clean Architecture on .NET 9.0 to ensure scalability and maintainability. 

Business Outcome 

• Achieved near 100% accuracy in document data extraction. 

• Reduced manual document handling by over 80%, increasing overall efficiency. 

• Improved compliance and data quality through structured, automated processing. 

• Smooth integration with the existing Azure ecosystem enabled rapid deployment and minimal operational disruption. 

Tech Stack 

• AI/ML: Azure Document Intelligence (Custom Extraction, Classification, Compose Models) 

• Cloud Services: Azure Function App, Azure Functions, Azure Logic Apps, Azure Blob Storage, Azure SQL, Azure Key Vault 

• Development: ASP.NET Core (Clean Architecture), .NET 9.0