Abstract

This study investigates the impact of Artificial Intelligence (AI) on financial reporting accuracy and efficiency among Nigerian companies across various sectors. As the financial environment becomes increasingly complex, effective and timely financial reporting is essential for organizational transparency and decision-making. This research addresses existing gaps by examining the influence of AI-driven technologies: machine learning, natural language processing, and robotic process automation on improving financial reporting processes. Utilizing a descriptive survey research design and quantitative analysis, the structured questionnaire were distributed to a population of 317 respondents comprising finance professionals, data scientists, and decision-makers within organizations actively implementing AI in financial reporting. The sample size of 100 respondents was purposively selected based on clarity of response from the respondents. The findings indicate that AI has a significant positive impact on both accuracy and efficiency in financial reporting. Specifically, the integration of AI tools enhances the precision of financial data reporting and improves operational efficiency. AI-based automation reduces the likelihood of human error and enables faster data processing, resulting in more reliable and timely financial reports. The study recommends that organizations invest in AI technologies to maintain competitiveness and suggests implementing oversight mechanisms to ensure AI-driven reporting aligns with regulatory standards.