Advanced Document Processing with Azure AI and OpenAI: 8+ Wk Implementation

Document automation reduces the need for time-consuming tasks, reduces errors and inaccuracies, and streamlines operational efficiency. The solution can benefit various industries and organizations, including those dealing with high volumes of document processing, such as legal firms, healthcare providers, and finance institutions.

By leveraging cutting-edge machine learning technologies, you could search and query your documents, extract entities, classify document types, generate summaries, analyze various document types, including contracts, invoices, forms, and images, and all of this with seamless integration into your existing infrastructure. Our team of experts is ready to work with your company to optimize the solution offering to meet your performance requirements and budget constraints.

Key Features:

• Document governance: store all documents, extracted metadata, and entities in either Azure Blob Storage or Azure Data Lake Storage. Extend the solution by implementing data validation using predefined business rules and various formatting.
• Document capture and extraction: leverage Azure Cognitive Services like Azure Form Recognizer, Azure Text Analytics, and Azure Computer Vision for efficient document analysis and understanding using OCR and NLP techniques to extract relevant information from document formats such as PDF, Doc, Excel, txt, and images. Categorize documents based on their content, optimizing efficient routing to appropriate teams or systems. Extract additional entities from the document to enable document analytics and reporting.
• Analytics and monitoring: gain valuable insights into document processing trends, performance metrics, and key indicators. Drive continuous improvement and optimization with Azure Monitor and Application Insights.
• Advanced document search: utilize the power of Azure OpenAI Services and Azure Cognitive Services to facilitate complex question-based searches of the entire document knowledge base.
• Seamless integration: integrate and deploy the solution into your existing infrastructure within Azure. Use serverless asynchronous processing via Azure Functions for real-time processing through an API.

Timeline

1. Requirements gathering and solution design – 1-2 weeks
2. Solution development and testing – 6-8 weeks
3. Deployment and integration – 1-2 weeks

The future Support Phase can be agreed upon additionally.

Price

Our team will calculate the exact price range in the project proposal stage. The minimum budget for the project is 30k$ but may be increased based on the project estimations, which depends on the number of documents, its format, and integration requirements.

Key Business Outcomes

• Accelerated document processing workflows and reduced manual effort by 20-40%
• Improved accuracy and efficiency of document processing tasks by up to 50%
• Enhanced data analysis and insights
• Enforced data privacy and security
• Comprehensive documentation and support throughout the project and in later stages

Deliverables

• Ready to deploy solution: functioning deployed document processing solution in Azure cloud environment.
• Documentation artifacts: complete documentation for the project including architecture diagrams and materials.