Smart Cloud Modernization Approach using AI for Financial Optimization and Risk Mitigation in SAP
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Abstract
In the digital transformation era, organizations are increasingly adopting intelligent cloud-based solutions to modernize their enterprise systems for improved agility, performance, and resilience. This paper presents a Smart Cloud Modernization Approach that leverages Artificial Intelligence (AI) to enhance financial optimization and risk mitigation within SAP environments. The proposed framework integrates AI-driven analytics with cloud infrastructure to automate financial forecasting, detect anomalies, and optimize resource utilization. By modernizing legacy SAP financial modules onto a cloud-native platform, the system enables real-time data processing, predictive risk assessment, and proactive decision-making. The AI layer employs machine learning algorithms to identify financial irregularities, assess credit and operational risks, and support compliance assurance. Furthermore, cloud-based scalability ensures seamless integration, high availability, and cost efficiency. The results demonstrate that this hybrid AI-cloud modernization strategy significantly improves financial transparency, operational efficiency, and risk control in enterprise SAP systems.
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1. Zheng, X., Zhu, M., Li, Q., Chen, C., & Tan, Y. (2018). FinBrain: When Finance Meets AI 2.0. arXiv. arXiv
2. Adari, V. K., Chunduru, V. K., Gonepally, S., Amuda, K. K., & Kumbum, P. K. (2023). Ethical analysis and decision-making framework for marketing communications: A weighted product model approach. Data Analytics and Artificial Intelligence, 3(5), 44–53. https://doi.org/10.46632/daai/3/5/7
3. Konda, S. K. (2023). Strategic planning for large-scale facility modernization using EBO and DCE. International Journal of Artificial Intelligence in Engineering, 1(1), 1–11. https://doi.org/10.34218/IJAIE_01_01_001
4. Ahmad, S., & Ahmad, H. M. (2025). Green AI for Sustainable Employee Attrition Prediction: Balancing Energy Efficiency and Predictive Accuracy. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(3), 12155-12160.
5. Poornima, G., & Anand, L. (2025). Medical image fusion model using CT and MRI images based on dual scale weighted fusion based residual attention network with encoder-decoder architecture. Biomedical Signal Processing and Control, 108, 107932.
6. Sivaraju, P. S. (2024). Driving Operational Excellence Via Multi-Market Network Externalization: A Quantitative Framework for Optimizing Availability, Security, And Total Cost in Distributed Systems. International Journal of Research and Applied Innovations, 7(5), 11349-11365.
7. Kasula, V. K. (2023). AI driven banking: A review on transforming the financial sector. World Journal of Advanced Research and Reviews, 20(02), 1461 1465. Wjarr
8. Sasidevi Jayaraman, Sugumar Rajendran and Shanmuga Priya P., “Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud,” Int. J. Business Intelligence and Data Mining, Vol. 15, No. 3, 2019.
9. Islam, M. S., Ahmad, M. Y., Zerine, I., Biswas, Y. A., & Islam, M. M. Real-Time Data Stream Analytics and Artificial Intelligence for Enhanced Fraud Detec-tion and Transaction Monitoring in Banking Security. https://www.researchgate.net/profile/Md-Islam-2323/publication/396614928_Real-Time_Data_Stream_Analytics_and_Artificial_Intelligence_for_Enhanced_Fraud_Detection_and_Transaction_Monitoring_in_Banking_Security/links/68f2f9f5e7f5f867e6e0783e/Real-Time-Data-Stream-Analytics-and-Artificial-Intelligence-for-Enhanced-Fraud-Detection-and-Transaction-Monitoring-in-Banking-Security.pdf
10. “Artificial Intelligence in SAP S/4HANA: Transforming Enterprise Resource Planning through Intelligent Automation.” Pokala, P. (2024). International Journal of Scientific Research in Computer Science, Engineering and Information Technology. IJSRCSEIT+1
11. Gosangi, S. R. (2023). Transforming Government Financial Infrastructure: A Scalable ERP Approach for the Digital Age. International Journal of Humanities and Information Technology, 5(01), 9-15.
12. Arul Raj A. M., Sugumar R. (2024). Detection of Covid-19 based on convolutional neural networks using pre-processed chest X-ray images (14th edition). Aip Advances 14 (3):1-11.
13. Kumar, A., Anand, L., & Kannur, A. (2024, November). Optimized Learning Model for Brain-Computer Interface Using Electroencephalogram (EEG) for Neuroprosthetics Robotic Arm Design for Society 5.0. In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) (pp. 30-35). IEEE.
14. “Business Planning and Forecasting using AI and Machine Learning with the SAP Analytics Cloud – SAC.” Gopisetti, C. (2023). IJCTT, 71(12). Seventh Sense Research Group®
15. “Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach.” (2022). Journal of Big Data, 9:100. SpringerOpen
16. “AI Driven Financial Data Analytics: Unleashing the Power of SAP FICO for Predictive Accounting.” Singh, P. S. (2024). ESP IJACT 2(3), 153 166. ESP Journals
17. Ahmad, S. (2024). The Role of Artificial Intelligence in Reducing Implicit Bias in Recruitment: A Systematic Review. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(6), 11253-11260.
18. AZMI, S. K. (2021). Markov Decision Processes with Formal Verification: Mathematical Guarantees for Safe Reinforcement Learning.
19. Fernández, M. (2023). AI in Banking: AI Will Be an Incremental Game Changer. S&P Global. S&P Global
20. Kalyani, S., & Gupta, N. (2023). Is artificial intelligence and machine learning changing the ways of banking: a systematic literature review and meta analysis. Discover Artificial Intelligence, 1. OUCI
21. Jannatul, F., Md Saiful, I., Md, S., & Gul Maqsood, S. (2025). AI-Driven Investment Strategies Ethical Implications and Financial Performance in Volatile Markets. American Journal of Business Practice, 2(8), 21-51.
22. Christadoss, J., Panda, M. R., Samal, B. V., & Wali, G. (2025). Development of a Multi-Objective Optimisation Framework for Risk-Aware Fractional Investment Using Reinforcement Learning in Retail Finance. Futurity Proceedings, 3.
23. Arul Raj .A.M and Sugumar R.,” Monitoring of the social Distance between Passengers in Real-time through video Analytics and Deep learning in Railway stations for Developing highest Efficiency” , March 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2022, ISBN 979- 835033384-8, March 2023, Chennai , India ., DOI 10.1109/ICDSAAI55433.2022.10028930.
24. Manda, P. (2023). Migrating Oracle Databases to the Cloud: Best Practices for Performance, Uptime, and Risk Mitigation. International Journal of Humanities and Information Technology, 5(02), 1-7.
25. Mula, K. (2025). Real-Time Revolution: The Evolution of Financial Transaction Processing Systems. Available at SSRN 5535199.
26. Archana, R., & Anand, L. (2025). Residual u-net with Self-Attention based deep convolutional adaptive capsule network for liver cancer segmentation and classification. Biomedical Signal Processing and Control, 105, 107665.