Reimagining Financial Systems Through Adaptive Automation
DOI:
https://doi.org/10.5281/zenodo.21411917Keywords:
Intelligent Automation, Financial Clouds, Automation Paradigms, Decision Automation, Robotic Process Automation, Explainable AI, Auditability of AI, Compliance Automation, RPA, Cloud Computing.Abstract
Next-generation financial Cloud systems must meet the automation, operational pacing, and rapid-market-change demands of the digital economy, which cannot be supported by traditional automation paradigms. Intelligent automation, which employs appropriate AI technologies for different automation decision categories and business processes, is a concept with unprecedented potential. Seen as an enabler for next-generation financial Cloud systems, three critical aspects need serious consideration to seize this opportunity: the intelligent automation of internal operations, the governance and compliance of intelligent automation at a system level, and how companies can incrementally build intelligent automation capabilities. The first two aspects interact because the business case for intelligent automation is built on stakeholder demand for cost reduction. Filling gaps in these two areas provides a foundation for a roadmap of maturity phases or increments. Primary examples of intelligent automation in financial operations research illustrate its industrial relevance.
References
1. Alkaraan, F., Elmarzouky, M., Hussainey, K., & Venkatesh, V. (2024). Artificial intelligence in finance and accounting: A review and research agenda. Journal of Financial Reporting and Accounting, 22(2), 245–268.
2. Alshater, M. M. (2024). FinTech and artificial intelligence: Emerging trends in financial innovation. International Review of Financial Analysis, 91, 103012.
3. Bazarbash, M. (2024). Fintech in financial inclusion: Machine learning and digital transformation. Finance & Development, 61(1), 24–29.
4. Inala, R., & Somu, B. (2024). Agentic ai in retail banking: Redefining customer service and financial decision-making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1).
5. Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., & Ndubisi, N. O. (2024). Artificial intelligence-driven innovation for financial services. Technological Forecasting and Social Change, 199, 123061.
6. Benbouzid, D., & Bory, P. (2024). Automation and decision-making in financial systems. Finance and Society, 10(1), 55–73.
7. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
8. Bhimani, A., & Willcocks, L. (2024). Digital labor and intelligent automation in financial services. Accounting, Auditing & Accountability Journal, 37(2), 478–503.
9. Bhatia, A., & Kumar, S. (2024). AI-enabled financial decision support systems: Current advances and future opportunities. Expert Systems with Applications, 246, 123093.
10. Loganathan, R. (2024). GENERATIVE AI-ENABLED COMPLIANCE DOCUMENTATION AND AUDIT TRAIL AUTOMATION FOR GLOBAL DATA CENTER GOVERNANCE. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(3), 487-504.
11. Cao, L. (2024). AI in finance: State-of-the-art and future directions. ACM Computing Surveys, 56(6), 1–38.
12. Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. M. (2024). Intelligent automation in banking and financial services. International Journal of Information Management, 77, 102737.
13. Chen, M. A., Wu, Q., & Yang, B. (2024). FinTech and digital finance: Emerging applications of AI. Journal of Banking and Finance, 165, 107291.
14. Dhamija, P., & Bag, S. (2024). Robotic process automation in financial institutions: A systematic review. Business Process Management Journal, 30(3), 641–666.
15. Mattaparthi, R. (2024). Transformer-Based Fault Diagnosis for Large-Scale Standby Power Generators: Partial Discharge Pattern Recognition at Hyperscale Data Center Installations. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8781-8799.
16. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., et al. (2024). So what if ChatGPT wrote it? Multidisciplinary perspectives on generative AI in finance. International Journal of Information Management, 77, 102744.
17. Elia, G., Margherita, A., & Passiante, G. (2024). Digital transformation and intelligent finance. Technological Forecasting and Social Change, 197, 122945.
18. Esmaeilzadeh, P. (2024). Explainable AI adoption in financial services. Information Systems Frontiers, 26(2), 661–678.
19. Fahlenbrach, R., Frattaroli, M., & Scherrer, S. (2024). Artificial intelligence and financial market efficiency. Journal of Financial Economics, 153(1), 117–142.
20. Kolla, S. H., & Peddi, R. K. (2024). Designing Governance-Aligned GenAI Pipelines Using Small Language Models for Enterprise Workflow Intelligence. International Journal of Science, Research and Technology, 7(6), 13256-13268.
21. Feng, G., He, J., & Polson, N. (2024). Deep learning and adaptive financial forecasting. Journal of Financial Data Science, 6(1), 12–30.
22. Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2024). Financial technology and adaptive automation. Electronic Markets, 34(1), 1–21.
23. Nagabhyru, K. C. (2024). Data Engineering in the Age of Large Language Models: Transforming Data Access, Curation, and Enterprise Interpretation. Computer Fraud and Security.
24. Gupta, N., & Kalyani, S. (2023). Is artificial intelligence and machine learning changing the ways of banking: A systematic literature review and meta-analysis. Discover Artificial Intelligence, 3(41), 1–27.
25. Hasan, M. M., Mahi, M., Sarker, T., & Amin, M. R. (2024). FinTech innovations and intelligent banking systems. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100213.
26. Huang, K., Chen, Y., & Liu, Z. (2024). AI-driven risk management in financial institutions. Finance Research Letters, 61, 105019.
27. Reddy Segireddy, A. (2024). Federated Cloud Approaches for Multi-Regional Payment Messaging Systems. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(2), 442-450.
28. Jain, N., & Singh, R. (2024). Autonomous financial operations through artificial intelligence. Journal of Financial Transformation, 59, 88–101.
29. Jha, S., & Bose, I. (2024). Adaptive analytics in financial decision making. Decision Support Systems, 182, 114230.
30. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
31. Kalyani, S., & Gupta, N. (2023). Artificial intelligence and banking transformation. Discover Artificial Intelligence, 3(41), 1–24.
32. Kamble, S., Gunasekaran, A., & Gawankar, S. (2024). Intelligent automation and financial resilience. International Journal of Production Economics, 269, 109153.
33. Kar, A. K., & Dwivedi, Y. K. (2024). Generative AI in financial services: Emerging opportunities and risks. Information Systems Frontiers, 26(4), 1287–1306.
34. Kshetri, N. (2024). Artificial intelligence, automation, and the future of finance. IT Professional, 26(2), 12–19.
35. Kumar, V., Ramachandran, D., & Kumar, B. (2024). AI-powered customer experience management in banking. Journal of Retailing and Consumer Services, 77, 103608.
36. Peddi, R. K. (2024). AI-Based Workforce Analytics for SLA Governance and Uptime Assurance in Data Centers. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8589-8601.
37. Lee, I., & Shin, Y. J. (2024). FinTech: Ecosystem, business models, and adaptive technologies. Business Horizons, 67(1), 29–41.
38. Li, X., Wang, H., & Sun, Y. (2024). Reinforcement learning for adaptive financial systems. Expert Systems with Applications, 248, 123403.
39. Bandi, V. D. V. K. (2024). Intelligent Data Platforms For Personalized Retail Analytics At Scale. Metallurgical and Materials Engineering, 30 (4), 1011–1027.
40. Liébana-Cabanillas, F., Singh, N., Kalinic, Z., & Carvajal-Trujillo, E. (2024). Digital finance adoption and AI-enabled banking. Technological Forecasting and Social Change, 199, 123053.
41. Luo, X., Tong, S., Fang, Z., & Qu, Z. (2024). Frontiers in AI and financial services. Journal of Service Research, 27(2), 201–221.
42. Ma, Y., & Sun, H. (2024). Adaptive automation for fraud detection in banking. Expert Systems with Applications, 244, 122867.
43. Davuluri, P. N. (2019). Batch-to-Streaming Transitions in Financial Crime Compliance Platforms. International Journal Of Engineering And Computer Science, 8(12).
44. Mhlanga, D. (2024). Artificial intelligence in banking and financial services. FinTech, 3(1), 34–51.
45. Mishra, D., & Sharma, R. (2024). Financial process automation using AI and machine learning. Journal of Financial Innovation, 10(1), 22–41.
46. Natarajan, H., Krause, S., & Gradstein, H. (2024). Distributed ledger technologies and adaptive finance. World Bank Research Observer, 39(1), 90–112.
47. Nguyen, T. H., Dang, V. D., & Tran, M. D. (2024). AI-enabled compliance automation in banking. Journal of Risk and Financial Management, 17(2), 88.
48. Mangala, N. (2024). Leveraging Microsoft Fabric Lakehouse as an AI-Ready Data Platform for Enterprise Analytics. Journal of Information Systems Engineering and Management.
49. Pahsa, A. (2024). Financial technology decision support systems. Journal of Electrical Systems and Information Technology, 11(5), 1–18.
50. Parameswaran, M., Dhir, A., & Talwar, S. (2024). Intelligent financial ecosystems and digital transformation. Technological Forecasting and Social Change, 198, 122999.
51. Patel, N., & Shah, H. (2024). Adaptive automation in financial operations management. International Journal of Financial Engineering, 11(2), 2450009.
52. Yandamuri, U. S. (2024). AI-Driven Decision Support Systems for Operational Optimization in Hospitality Technology. Metallurgical and Materials Engineering.
53. Perera, C., & Nanayakkara, S. (2024). Explainable financial AI and trust. Information Systems Frontiers, 26(3), 875–894.
54. Rahman, M., Hasan, R., & Islam, S. (2024). Machine learning applications in digital finance. Financial Innovation, 10(1), 62.
55. Rane, N. (2024). Generative AI in banking and finance. Journal of Banking and Financial Technology, 8(2), 145–168.
56. Ryll, L., Seemann, A., & Block, J. (2024). AI-powered robo-advisors and financial automation. Financial Innovation, 10(1), 51.
57. Amistapuram, K. (2024). Smart Decision Support Systems For Dynamic Tax Policy Optimization Using Reinforcement Learning. Available at SSRN 6143426.
58. Sharma, P., & Gupta, S. (2024). Intelligent process automation for financial services. Business Process Management Journal, 30(5), 1208–1230.
59. Singh, S., & Kaur, P. (2024). Adaptive risk analytics in financial systems. Journal of Risk Finance, 25(2), 180–197.
60. Sonani, R. (2023). Reinforcement learning-driven proximal policy optimization for adaptive compliance workflow automation in high-dimensional banking systems. Annals of Applied Sciences, 4(1), 1–15.
61. Subramanyam, S. V. (2024). Transforming financial systems through robotic process automation and AI: The future of smart finance. International Journal of Artificial Intelligence Research and Development, 2(1), 203–223.
62. Suryono, R. R., Budi, I., & Purwandari, B. (2024). FinTech and digital transformation in financial services. Information Systems and e-Business Management, 22(1), 215–239.
63. Reddy, V. A. R. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13.
64. Tang, H., & Zhang, Y. (2024). AI-enabled financial resilience and operational excellence. Journal of Financial Services Marketing, 29(2), 110–125.
65. Thomas, P. (2024). Risk-aware AI decision models in financial process automation. International Journal of Financial Analytics, 8(1), 45–63.
66. Venkatesh, V., Rai, A., Sykes, T. A., & Aljafari, R. (2024). Artificial intelligence and organizational transformation in finance. MIS Quarterly Executive, 23(1), 1–18.
67. Wang, J., & Li, P. (2024). Adaptive machine learning frameworks for financial decision-making. Expert Systems with Applications, 247, 123286.
68. Kolla, T. (2024). Graph Neural Networks for HCC Risk Adjustment and Interoperability. International Journal of Science, Research and Technology, 7(6), 13244-13255.
69. Weber, P., Carl, K. V., & Hinz, O. (2024). Applications of explainable artificial intelligence in finance: A systematic review of finance, information systems, and computer science literature. Management Review Quarterly, 74(2), 867–907.
70. Wessel, M., Baiyere, A., Ologeanu-Taddei, R., Cha, J., & Jensen, T. (2024). Unpacking the impact of AI on financial services. Journal of the Association for Information Systems, 25(2), 390–418.
71. Xia, Y., Liu, C., & Wang, X. (2024). Intelligent fraud analytics in digital banking. Finance Research Letters, 60, 104917.
72. Yang, B., Guo, X., & Huang, J. (2024). Adaptive AI systems for credit risk management. Journal of Banking and Finance, 163, 107213.
73. Aitha, A. R. (2021). Dev Ops Driven Digital Transformation: Accelerating Innovation In The Insurance Industry. Available at SSRN 5622190.
74. Yigitbasioglu, O., Green, P., & Cheung, M. (2024). Intelligent automation and accounting transformation. Accounting and Finance, 64(2), 2145–2172.
75. Zhang, L., Zhao, Y., & Chen, H. (2024). AI-driven financial intelligence and automation. Information and Management, 61(4), 104015.
76. Zhou, Y., Li, H., & Wu, F. (2024). Autonomous financial decision systems: Opportunities and challenges. Decision Support Systems, 180, 114178.
77. Zuo, M., Wang, S., & Chen, Y. (2024). Intelligent financial ecosystems enabled by adaptive automation. Financial Innovation, 10(1), 74.
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