Generative AI: Automating Invoice Processing
A business receives hundreds of invoices daily, which are manually processed. By using Azure Form Recognizer (a service in Azure Cognitive Services), the company automates the extraction of key details such as vendor names, invoice numbers, amounts, and dates from PDFs or images. The extracted data is then passed through an Azure Logic App to automatically update the accounting system via an API integration with their ERP. Additionally, Azure Monitor tracks processing performance, and any inconsistencies are flagged by an integrated Azure Machine Learning model for further review. This solution improves speed, accuracy, and scalability of invoice handling while reducing manual labor.
Define Business Needs and Use Cases
Identify specific business challenges that Azure AI can address, such as automating document processing or extracting insights. Align AI solutions with targeted outcomes like efficiency improvements or data-driven decision-making.
Leverage Azure AI Models
Utilize Azure Cognitive Services like Form Recognizer or Text Analytics to process and analyze documents. Train and customize these models to meet the business's unique document-handling requirements.
Deploy, Monitor, and Optimize
Integrate Azure AI models into workflows, ensuring real-time processing and analysis. Continuously monitor performance and optimize models for accuracy, scalability, and cost-efficiency.
