Abstract
This article examines the impact of artificial intelligence on administrative decision-making in emerging enterprises, employing a quantitative and mathematical approach supported by regression models, Monte Carlo simulation, and dynamic systems. The findings indicate that process automation and predictive analytics are the most influential factors in administrative efficiency, while organizational acceptance significantly strengthens their effect. The results suggest that AI must be integrated into a broader strategic architecture that combines engineering, ethics, and sustainability to maximize its effectiveness.
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