AI-Driven Cloud Framework for SAP-Integrated Banking and Financial Ecosystems

Jonathan  Alexandros Ashworth

doi:10.15662/IJRAI.2024.0706011

Authors

Jonathan Alexandros Ashworth Senior Cloud Architect, London, England, United Kingdom Author

DOI:

https://doi.org/10.15662/IJRAI.2024.0706011

Keywords:

SAP Financial Management, Oracle Database Modernization, AI Powered Database, Cloud Integration, SAP S/4HANA Finance, Central Finance, Finance Transformation, Enterprise ERP Modernisation, AI in Finance

Abstract

The finance function in enterprise organisations is evolving rapidly, driven by demands for real‑time insight, automation, risk responsiveness and cloud‑enabled scalability. This paper examines how next‑generation financial management using SAP can be accelerated by modernising the underlying Oracle database layer, embedding artificial intelligence (AI) capabilities and deploying in cloud environments. We present a conceptual architecture in which SAP’s financial modules (e.g., SAP S/4HANA Finance, Central Finance) run on an AI‑enabled Oracle Database platform (on‑premises or cloud) and integrate with cloud infrastructure to support scalability, advanced analytics and automation. Through a review of literature across ERP modernisation, AI‑driven finance and Oracle‑SAP integration, we identify the key enablers and challenges for finance modernisation. We adopt a mixed‑method research methodology: qualitative interviews with finance and IT leaders in organisations using SAP and Oracle, and a proof‑of‑concept benchmarking of an AI‑powered Oracle database supporting SAP financial workloads in a cloud environment. We discuss the advantages (improved performance, automation, insight) and disadvantages (cost, complexity, migration risk) of this approach. The results and discussion indicate that embedding AI‑powered database features within SAP financial management on Oracle and integrating with cloud infrastructure can yield meaningful improvements in close cycle time, data latency and analytic value, provided that governance, data quality and change management are addressed. The conclusion summarises practical implications for CFOs, finance‑technology leaders and enterprise architects, and the future work outlines further empirical studies, deeper AI models, hybrid cloud strategies and governance frameworks. This study offers a blueprint for enterprise organisations seeking to modernise SAP finance to next‑generation standards via Oracle database modernisation and cloud integration.

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