<em>uniAIauto</em>: A Unified Approach to AI-Driven Intelligent Automation in ERP for Operational Excellence and Transformative Outcomes

The core objective of this study is to construct and assess a comprehensive method for the incorporation of AI-powered intelligent automation into ERP systems that is mainly focused on the improvement of operational excellence and the fostering of transformative outcomes. Enterprise Resource Planning (ERP) systems are fundamental for organizational performance but still are frequently encountered with issues in adjusting to the flexible operational needs. The combination of artificial intelligence (AI) and intelligent automation with ERP could be a game changer for the entire business system, making it possible for companies to be truly agile and to perform at their best. The research uses a mixed-methods approach that brings together a detailed review of the current literature, the establishment of a conceptual integration framework, and the examination of case studies from diverse fields. Where relevant, empirical data is presented as evidence to support the conclusion of the proposed model’s effectiveness. This article describes a piecemeal, adaptable framework for the AI-powered automation in ERP settings, offering practical ways for real-time decisions, process optimization, and user personalization. The proposed unified approach has big potential as it enhances operational efficiency through the reduction of manual interventional actions, and with the real-time decision-making in ERP systems. The case studies of the concept underline the enhancement in using workflow automation, predictive abilities, and user interaction in various sectors. The modular design of the framework for AI technology also emphasizes the use of scalability and adaptability, the costs of solving both organizational and technical problems and supporting system learning and evolution. The use of the AI-driven automation into ERP systems is one avenue that organizations could employ to increase their competitive power, their quality of service, as well as their technical commitment to customers by implementing this initiative that could prove beneficial for not only the employees but the customers and society at large. Additional research is to be done for the exploration of the large-scale deployment challenges, the sector-specific adaptations, and the long-term effects of the AI-powered ERP systems on organizational culture and workforce dynamics.