AI-driven testing frameworks for enterprise resource planning systems: A case study on oracle ERP

ERP systems manage business operations at many organizational levels to streamline operations. Testing these systems becomes challenging because they combine complex structures with many modules in addition to flexible enterprise settings. The paper investigates AI-based testing frameworks for ERP systems while concentrating on the testing of Oracle ERP systems. Research analyzing the utilization of AI algorithms with predictive analysis and intelligent test code development shows how AI boosts effectiveness in ERP testing for large projects. Researchers used a case study approach to evaluate functional and non-functional results when implementing AI tools in Oracle ERP testing platforms. Test cycles improve faster, system reliability improves, and manual testing requirements decrease substantially because of AI-driven testing approaches. The study delivers practical recommendations for enterprise quality assurance of software and suggestions to scale AI-based testing throughout sophisticated ERP systems.