Binary Choice Probit Model for Enterprise Management Decision-making System Based on Artificial Intelligence Generated Content

From the perspective of high-quality and efficient intelligent problem solving in business decision-making, a artificial intelligence generated content solution is proposed. In order to solve this problem, a Artificial Intelligence Generated Content binary choice Probit model is used. The solution proposes feature engineering, model assumptions, variable selection, feedback iteration, and security and compliance technical methods to effectively solve the business decision-making process. A business decision data simulation experiment was conducted by using this model. Compared with the general decision-making system without Artificial Intelligence Generated Content, the reference data volume of this business decision-making system increased by 86.63 times, and the decision efficiency increased by 51.21%. The experimental values are key indicators such as return on equity and market value. The results show that this technical method has high accuracy and practical value in evaluating the stability of corporate business decisions and predicting debt repayment capability.