An Automatic Instinctive Optimizing Technique for Tax Filing via AI-Driven based Compilation System

Tax compliance is very key, affecting both businesses and individuals in the world of accounting. The biggest problem in observing the right compliance under taxes relates to a number of complexities that surround the legal framework for any form of compliance and constant changing tax laws. Normally, the task of tax compliance is quite laborious and inefficient by means of traditional methods and mostly prone to human errors. With the development of technologies, involvement with artificial intelligence (AI) is showing some promising solutions in this direction. This research paper takes into consideration the use of accounting information systems that have decision support systems using AI in place to enhance tax compliance. The paper will begin with a description of the present challenges in complying with tax, from complex tax laws to manual calculation and reporting work. These challenges, therefore, pose high risks of error and non-compliance to the efficiency of compliance. This calls for and requires the need to develop new methods that will bring about a revolution in the existing tax compliance practices. This paper tends to provide a full-spectrum literature review on the ways in which AI technologies have evolved in time and integrated into the practices of accounting. This support system has some capabilities: data analysis, pattern recognition, and predictive modeling that increase the level of task automation at the stage of making the decision in an informed and effective way.