The Future of Self-Healing ERP Systems: AI-Driven Root Cause Analysis and Remediation
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I2P111Keywords:
Self-Healing ERP, Artificial Intelligence, Root Cause Analysis, Predictive Analytics, Automated Remediation, Machine Learning, Event Stream Processing, Enterprise IT, RPAAbstract
As Enterprise Resource Planning (ERP) becomes a more pivotal part of organizational functioning, the pressure on intelligent, robust platforms that can perform self-diagnosis and recovery of errors has risen continuously. The proposed paper discusses the development of self-healing ERP systems based on Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA).The systems reinvent the meaning of operational reliability by independently identifying any abnormalities, analysing their causes, and implementing solution steps without the need for human operator input. Our end-to-end architecture implementation integrates monitoring with AI, real-time event stream processing, and automated remediation components, all within a continuous learning feedback loop. The framework is experimented with and on the functions based on financial, operational, and compliance-related situations and results in accuracy in fault detection, time of response, and uptime of the system have to improve. With quantitative metrics and case studies of commercial ERP implementations at the level of SAP and Oracle, we demonstrate that AI can reduce manual overheads by more than 30%, decrease incident recovery durations by 68.4%, and support uptime of over 99.8%. Although it has potential, the adoption of such systems is challenging, and people are limited by the explainability and integration of these systems, as well as their concerns about autonomous operation. Future research directions are also proposed at the end of this study to facilitate cross-platform intelligence, distributed learning, and transparent AI governance and compliance. Finally, there is the implication of self-healing ERP systems, heralding a major shift toward self-managing and self-modifying enterprise infrastructure
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