Integrating AI and Process Reengineering in Financial Shared Services

Under digital transformation, Financial Shared Service Centers (FSSCs) are evolving from administrative units to strategic enablers. Drawing on case studies from manufacturing and internet firms (2015–2022), this paper identifies three key limitations: process inflexibility in complex scenarios, disconnected financial-business data flows, and delayed risk response. To address these, the authors propose a framework—“hierarchical processes, intelligent tools, and closed-loop risk management.” It automates routine tasks via RPA and OCR, reserves expert teams for complex cases, and embeds machine learning and big data analytics into workflows for real-time monitoring. Results show nearly 50% reduction in processing time, 70% fewer annual risk incidents, and over 25% higher cost savings. When processes and technologies are stably integrated, FSSCs enhance not only efficiency but also strategic decision support. This study offers a practical pathway for digital transformation in enterprise service systems, highlighting how information systems align operational automation with strategic agility.