Project Overview
This project is a production-oriented reference implementation of a serverless document processing platform designed to demonstrate how AI-assisted workflows can be integrated into enterprise-grade cloud architectures on Microsoft Azure.
The focus of the project is not the user interface, but the reliable orchestration of AI services, secure data handling, and operational robustness required for processing business-critical documents such as invoices.
Scope & Responsibilities
- Design and implementation of a fully serverless processing pipeline for document ingestion and analysis
- Integration of Azure AI services for structured data extraction and classification
- Development of backend services using .NET Azure Functions with a strong focus on stability and error handling
- Secure handling of uploaded documents and extracted data
- Implementation of cost-aware, scalable cloud architecture
- Definition of clear separation between processing, storage, and orchestration responsibilities
- Setup of monitoring and observability to support production-like operation
Technical Focus
The architecture was intentionally designed to reflect real-world enterprise constraints, especially when introducing AI into existing systems.
Key technical considerations included:
- Secure and controlled access to documents during AI processing
- Handling of asynchronous AI operations while maintaining predictable system behavior
- Ensuring data consistency and traceability across processing stages
- Avoiding tight coupling between AI services and core application logic
- Cost-efficient scaling using serverless infrastructure
Built With
Outcome & Learnings
- Demonstrated a robust AI-assisted document processing architecture suitable for enterprise environments
- Successfully integrated multiple Azure AI services into a controlled, observable workflow
- Implemented secure document handling without exposing sensitive data
- Validated serverless patterns for cost-efficient scaling and fault tolerance
- Created a reusable architecture blueprint for document-centric business processes
Notes
This project is a self-initiated technical reference implementation and does not represent a customer system.
It is intended to demonstrate architectural design, cloud integration, and responsible use of AI services in enterprise contexts rather than domain-specific business functionality.