PREDICTIVE GOVERNANCE: AI-BASED WHAT-IF MODELLING FOR CLOUD ERP CHANGE MANAGEMENT

Abstract

This study examines AI-based what-if modelling for predictive governance in cloud ERP change management. Using secondary qualitative data analysis, the research synthesizes literature on forecasting change impacts, critical success factors, and governance mechanisms. Findings reveal that predictive models enhance scenario-based decision-making, operational efficiency, and organizational agility. Key success factors include data quality, stakeholder engagement, and process alignment. Predictive governance frameworks provide transparency, accountability, and risk mitigation, supporting proactive ERP change management. The study identifies gaps in empirical validation and integration, suggesting avenues for future research. Overall, AI-driven predictive governance is instrumental in optimizing cloud ERP change initiatives.