Enhancing Financial Accuracy and Reliability: A Study on AI-Driven Accounting Automation

Abstract

The integration of Artificial Intelligence (AI) into accounting practices has emerged as a transformative force in enhancing financial accuracy, operational efficiency, and decision-making processes. This study investigates the impact of AI-driven accounting automation on the accuracy and reliability of financial reporting within contemporary business environments. For the study, primary data were collected from accountants, accounts managers, finance analysts, and academic researchers. To assess whether perceptions significantly differed from a neutral stance, a one-sample t-test was applied, using a test value of 4, which represented the midpoint of the 7-point Likert scale. The research examines how accounting applications utilizing using AI-driven automation tools streamline routine tasks, including data entry, transaction categorization, reconciliation, and compliance monitoring. Theresults provide  strong evidence that accounting professionals and academician perceive AI tools as significantly accurate and reliable in the context of accounting. The widespread agreement across various aspects of AI performance indicates a high level of trust and acceptance of these technologies. Such perceptions are essential for the continued integration of AI in professional practice, as positive user attitudes often drive adoption and effective utilization.