The Evolution of Digital Financial Architecture: Artificial Intelligence-Driven Agility and Scalability in Enterprise Solutions & Customer Excellence

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Abstract

Digital Financial Architecture (DFA) has been invented to alter enterprise financial systems that offer agility, scalability, and operational efficiency through advanced technologies like Cloud Computing, Artificial Intelligence (AI), Blockchain, and API-driven platforms. The fact that this transformation has brought together traditional and rigid financial structures with modular and decentralized platforms to create the often real-time decision-making and compliance. Empirical evidence reveals that digital payment is positively related to financial inclusion, and 0.018% of the operational costs will be decreased with a 1% increase in digital transactions. Practices of use of AI and Cloud Computing have reduced the time that is required for making decisions while DevOps practice has decreased the time required for development cycles and deployment efficiency. It enhances the protection of transactions and supports the development of big platforms in finance while allowing data openness. By connecting ESB with EA, users experience better interconnection between systems while making their operations expandable. Numbers show exactly how dynamic resource management works and performance results from our continuous delivery methods. They will look at ways to broaden the previous systems, investigate the security issues surrounding data dissemination, and explore merging technology types with modern digital banking networks.

Keywords:

Digital Transformation, Digital Financial Architecture, Customer experience, Artificial intelligence, Enterprise Financial Systems, Enterprise Automation

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Published

2025-05-07

How to Cite

BHATIA, R., Sandiri, S., & PARA, R. K. (2025). The Evolution of Digital Financial Architecture: Artificial Intelligence-Driven Agility and Scalability in Enterprise Solutions & Customer Excellence. Journal of Next-Generation Research 5.0, 1(4). https://doi.org/10.70792/jngr5.0.v1i4.117

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