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ABSTRACT:
This research project investigates the impact of Artificial Intelligence (AI) on the audit process, comparing traditional manual methods with AI-driven approaches. The study explores how AI technologies, such as machine learning and natural language processing, can enhance audit efficiency, accuracy, and risk assessment. A comprehensive review of existing literature and case studies is conducted, followed by a comparative analysis of audit processes with and without AI integration. The findings highlight the potential of AI to streamline audit procedures, reduce manual errors, and improve decision-making. The study contributes to the ongoing discussion on the adoption of AI in auditing and provides insights for professionals, organizations, and regulatory bodies considering the implementation of AI-powered audit tools.
