Optimizing Payment Gateways in Fintech Using AI-Augmented OCR and Intelligent Workflow

Abstract

This research delves into the optimization of payment gateway systems in the fintech industry using AI-augmented OCR and intelligent workflow automation, especially with a focus on Azure Functions. The paper explores how these tools can make payment processing more efficient, scalable, and cost-effective by combining serverless computing with AI-driven technologies. Cases from financial institutions adopting Azure services, which indicate KPIs for transaction speed, operational efficiency, and total cost of ownership. Surveys from IT experts and system architects give real-world insight into how AI and OCR apply in the payments system.The event-driven architecture of Azure Functions features AI-powered Optical Character Recognition (OCR) for the automatic processing of payment information and intelligent workflows optimizing decision making. It would improve processing time, eliminate human errors, and make transactions' data accuracy more efficient. In addition, features such as Azure Active Directory, encryption, and compliance with PCI DSS standards ensure the safe handling of sensitive payment data, thereby enhancing the security of these systems.The paper compares AI-augmented OCR and intelligent workflows with traditional server-based models with respect to metrics involving transaction speed, system scalability, and cost-effectiveness. Preliminary findings suggest that AI- and OCR-based integration with Azure Functions reduces costs, enhances scalability, and strengthens security in payment gateway systems. These technologies bring about a revolution in payment processing in fintech and improve the efficiency and save operational expenses.