Transforming Invoice Management with Affine's AI Invoice Assistant powered by Azure OpenAI: 4-Week PoC

Many businesses face the challenge of managing and processing large volumes of invoices, emails, and other documents, which can be a time-consuming and error-prone task. The lack of automation leads to increased manual efforts, inefficiencies, and delayed processing times, hindering business productivity and decision-making processes.

The proposed solution leverages Azure OpenAI and Azure cognitive services, including OCR for converting scanned documents to text, Entity Extraction for extracting relevant entities, and data structuring to create a structured database. The Invoice Assistant leverages Azure OpenAI LLMs and acts as an interactive query handler for invoices, providing precise answers to user queries.

Solution Approach:

The proposed solution leverages Azure Open AI and other Azure services to provide an end-to-end invoice management system. Here's how it works:

1. Invoice Assistant: Utilizing Azure Open AI, the solution creates an interactive assistant capable of understanding and responding to natural language queries about invoices. It extracts relevant information from the invoices using OCR and entity extraction.
2. Invoice Tabular: Azure services are employed to design an automated tool, Invoice Tabular, that converts the invoice format into a structured database. The extracted entities are organized and stored in the database for easy retrieval and analysis.

Benefits:

• Increased Efficiency: By automating the tedious task of tallying invoices, emails, and other documents, the solution saves manual effort and reduces human error, leading to increased operational efficiency.
• Time Savings: The assistant service allows users to quickly retrieve details from invoices, saving time and effort that would otherwise be spent searching through documents.
• Data Centralization: Storing the invoice data in a structured database facilitates easy access and analysis, enabling better decision-making and business insights.
• Scalability and Adaptability: The solution can be scaled to handle a large volume of invoices and can be adapted to work with various types of documents like scanned invoices, e-invoices, and more.

PoC Scope:

The Proof of Concept (PoC) will be limited to demonstrating the functionality of the Invoice Assistant and Invoice Tabular using a representative sample of invoices and documents. The PoC will cover the following aspects:

1. Set up and configure Azure services for OCR and entity extraction.
2. Develop and deploy the Invoice Assistant using Azure Open AI.
3. Create the Invoice Tabular tool to generate a structured database.
4. Test the end-to-end workflow with a sample dataset.
5. Provide documentation and guidance for future scaling and integration.

Note: The PoC timeline and cost will be finalized after discussing the specific requirements and scale of the client's project.

To learn more about how our Azure Open AI-powered Invoice Assistant can revolutionize your invoice management process, and to discuss the PoC timeline and cost based on your unique needs, please contact us at:

• Email: affine.cloud@affine.ai
• Website: affine.ai