This article proposes using AI to improve the business decision-making process, implemented within the Dara framework using the CausalNex model and integrating the interpretation of model results via ChatGPT-4. The study involved developing an experimental application for two specific business scenarios and comparing its effectiveness with standard ChatGPT-4. Results show that the app excels in detecting complex cause-and-effect relationships, surpassing the capabilities of ChatGPT-4. The utility of the approach in accurately visualizing patterns and responding to critical queries based on the interpretation of newly obtained data is demonstrated. The results suggest that the application can significantly contribute to strategic business decision-making, offering precise recommendations. Thus, the approach has potential to become an integral tool in shaping future strategic decision-making.