International Journal of Economics and Business Management

AI-driven decision-making in financial management

IJEBM ID: ij00021f9ab4 May 16, 2025

AI-driven decision-making in financial management

Osaloni Bankole Ojo, Akinadewo Israel S, Duduyegbe Simeon Sunday, Fasakin Akinola Julius, Owoeye Taiwo Omolade.
Published May 16, 2025 Pages 644-663

Article Abstract

The financial management of registered accounting firms in Lagos State, Nigeria, is assessed in this study using AI-driven decision-making. Specifically, the study aimed to determine how AI-driven financial planning enhances the reliability and effectiveness of organisational operations. The study employed a survey research design because data were collected directly from the respondents. The results indicate that AI-driven decision-making with machine learning, expert systems and natural language has a considerably significant relationship with financial management because its usage in organisational management will assist in enhancing the operation of financial management practice by 19.5% which will enable the financial management to gain more efficient and effective operation. Managing the complex interactions between regulatory frameworks and technological advancements. The study added to the body of knowledge already available on utilising AI-driven decision-making in financial management within registered accounting firms in Lagos State, Nigeria. Based on dialogue between technology developers and regulators that create adaptive frameworks in keeping pace with the rapid advancements in AI, this recommends the successful integration of innovative solutions into financial management.

Indexed Terms

Financial management natural language expert systems machine learning and artificial intelligence JEL: O30 L80 L86 L68 L63
Citation

How to Cite this Article

Osaloni Bankole Ojo, Akinadewo Israel S, Duduyegbe Simeon Sunday, Fasakin Akinola Julius, Owoeye Taiwo Omolade.. "AI-driven decision-making in financial management." International Journal of Economics and Business Management , vol. 1 , no. 2 , 2025 , pp. 644-663

Citation Tools

Download RIS Download BibTeX