DOI: https://doi.org/10.36347/sjet.2024.v12i12.010

Pages: 411-417

The migration to cloud within banking systems is complicated by the closely linked architectures, rules and regulations, and the significant operational risk. This study explores how AI-assisted Change Impact Analysis (CIA) can help make the process of migration safer and more efficient. The proposed solution is beneficial as it is based on AI methods like predictive analytics and dependency models. The AI-assisted processes are more likely to show accuracy in detecting the effects of changes, ease manual work, and be better prepared to comply. The results of the numerical analysis and case studies in the industry show that AI-enhanced CIA can greatly enhance the processing speed, prediction accuracy, and risk mitigation. Hence, it can be used to modernise banking IT infrastructures. There are critical recommended actions for the banks, including the upskilling of employees, ensuring quality data inputs and stakeholders’ interactions.