Role of Accounting Information Systems in Risk Management

This research investigates the relationship between Accounting Information Systems (AIS) and risk management in the context of a company's activities. This study aims to investigate the role of autonomous intelligence systems (AIS) in identifying, analyzing and managing various internal and external risks within an organization. This is accomplished through a demographic analysis of the participants, which includes gender, age, marital status, and level of education they have in order to achieve this goal. The 299 valid entries in the dataset also demonstrated a well-balanced male-female ratio and education levels. Most have a degree, and many have sent in diplomas. A lack of model fit was found in the regression study with risk management (RM) and risk assessment (RA) as predictors for the AISRI. The study house does this study showed up during the completion of execution. This low proportion was because the variables together explained only 1.1% of all variability in our data. That was the basis for our decision. The results of the analysis of variance (ANOVA) revealed, in addition, that the model had limited explanatory power. There needs to be more to a full understanding of AISRI than this. Our findings suggest that future research must utilize more advanced statistical methods and include a wider range of demographic and contextual variables to improve accuracy in AIS prediction in risk management. This is particularly important given the results that were uncovered. To reach this goal, the first step we take is to use a more extended compilation of demographic and contextual data. Finally, with the examples of AISRI predictions again, one must look at the pragmatic consequences and remember that it further emphasizes a need for a nuanced approach rather than making RM or RA our sole source of information.