Thesis Abstract

Artificial intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various industries, including accounting. This project aims to evaluate the role of AI in streamlining accounting processes and its impact on efficiency, accuracy, and decision-making within accounting functions.

The study will employ a mixed-methods approach, combining quantitative analysis of data from companies that have implemented AI-based accounting systems with qualitative interviews of accounting professionals and experts. The quantitative analysis will focus on key performance indicators such as processing time, error rates, and cost savings, comparing the performance of AI-enabled accounting systems with traditional manual or software-based processes.

The qualitative interviews will provide insights into the experiences, perceptions, and challenges faced by accounting professionals in adopting and utilizing AI technologies. The interviews will explore the benefits of AI in automating routine tasks, improving data accuracy, enhancing data analysis capabilities, and enabling real-time reporting and decision-making.

The findings of this research will contribute to the existing literature on the role of AI in accounting by providing empirical evidence on its impact on accounting processes. The results will help organizations understand the potential benefits and limitations of AI in streamlining accounting functions and guide decision-making regarding the adoption and implementation of AI technologies.

Furthermore, the study will assess the ethical implications and concerns associated with the use of AI in accounting. It will explore issues such as data privacy, security, bias, and the need for human oversight and judgment in AI-driven accounting systems.

Ultimately, this research aims to enhance the understanding of the role of AI in streamlining accounting processes, thereby informing organizations about the potential benefits and challenges of adopting AI technologies. By leveraging AI effectively, organizations can improve efficiency, accuracy, and decision-making in accounting functions, leading to more streamlined and effective financial management.

Thesis Overview