Artificial Intelligence (AI) acts as a revolutionary force which transforms modern organizations because it changes both how managers make decisions and how companies conduct their financial reporting work. Businesses now adopt AI systems to their operational and financial systems because machine learning and data analytics and natural language processing and automation technologies now provide better machine learning systems. AI-powered systems help organizations handle large data sets that they can use to detect patterns and predict future developments and produce accurate financial data. The technological progress has transformed conventional methods of making choices which now depend on data analysis instead of gut feelings. This study examines the impact of Artificial Intelligence on managerial decision-making and financial reporting within organizations. The study investigates how artificial intelligence technology improves forecasting accuracy and risk assessment and budgeting efficiency and internal control systems. The research employs a descriptive and analytical method which collects primary data through structured questionnaires that managers and financial professionals complete. The study uses percentage-based analysis to assess how much organizations adopt AI technology which affects both decision-making abilities and the accuracy of their financial statements. The research results show that organizations which adopt AI systems gain better financial reporting efficiency while experiencing fewer human mistakes and faster data processing speeds and better visibility into their operations. Managers use AI tools for predictive analytics because they provide decision support based on current data. The automated reporting systems improve the efficiency of compliance and regulatory requirements. The study shows that organizations face two main challenges which include high implementation costs and data privacy issues and insufficient organizational knowledge.