AI-Enabled Process Automation in Enterprise Application Integration: Bridging Legacy Systems and Cloud-Native Platforms

Abstract

Enterprise Application Integration (EAI) is experiencing a paradigm shift as organizations navigate the complex transition from legacy systems to cloud-native architectures. This article examines how artificial intelligence is revolutionizing process automation in EAI environments, enabling seamless communication between disparate systems while optimizing workflows and data management. As organizations maintain hybrid infrastructures that combine decades-old legacy systems with modern cloud platforms, AI technologies—including machine learning, natural language processing, and predictive analytics—provide sophisticated solutions to bridge this technological divide. The article explores AI applications across several critical integration domains: SAP ERP integration, where AI facilitates complex data mapping and business rule extraction; workflow orchestration, where context-aware routing optimizes cross-environment processes; real-time data synchronization, where AI enables proactive consistency verification; and integration interfaces, where NLP enhances system-to-system communication. The article also examines emerging trends, including edge computing integration and continuous learning systems, that promise to further transform the EAI landscape, providing organizations with increasingly intelligent, adaptive, and resilient integration capabilities for successful digital transformation.