Budgetary Processes through Generative AI: A Comparative Analysis of Business Planning and Financial Data Modeling

Eric Jamel Morau Fils () and Azzeddine Allioui ()
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Eric Jamel Morau Fils: ESCA Ecole de Management, Morocco
Azzeddine Allioui: ESCA Ecole de Management, Morocco

RAIS Conference Proceedings 2022-2025 from Research Association for Interdisciplinary Studies

Abstract: This study aims to enrich the current literature on the transformation of the budgetary process by generative AI. We developed a business plan and budget for an online real estate platform. Using the case method, we compared both the usual tools (Desk Research on internet and hypothesis formulation and modeling using Microsoft Excel) and generative AI-based tools (Market research, Hypothesis fine-tuning and modeling). Our results suggest that while ChatGPT is time-effective in terms of market research, data analysis, and presentation, there is room for improvement in terms of data modeling in comparison with Microsoft Excel. The current version of ChatGPT is not mature and robust enough to be relied on to produce high-quality forecasts and modeling.

Keywords: Budgetary Process; Generative AI; Business Plan; Forecast; Performance Analysis (search for similar items in EconPapers)
Pages: 11 pages
Date: 2025-04
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Published in Proceedings of the 39th International RAIS Conference on Social Sciences and Humanities, April 17-18, 2025, pages 52-63

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