In the evolving landscape of financial reporting, the integration of Artificial Intelligence (AI) presents a transformative opportunity to enhance accuracy, transparency, and stakeholder confidence. This proposes a strategic framework for leveraging AI to improve financial reporting accuracy and restore public trust in financial systems. Amid growing concerns about financial misstatements, audit deficiencies, and accounting fraud, AI technologies such as machine learning, natural language processing, and anomaly detection offer robust tools for real-time data analysis, risk identification, and predictive analytics. The proposed framework encompasses four core components: data integrity and standardization, AI-driven analytics, human-AI collaboration, and regulatory alignment. By establishing standardized data inputs and ensuring data quality, organizations can reduce inconsistencies and errors in financial statements. AI-driven analytics enable the automated detection of irregularities, pattern recognition, and the generation of reliable forecasts, enhancing decision-making processes. Moreover, combining AI with human oversight ensures ethical judgments, contextual understanding, and accountability in financial reporting. The framework also emphasizes the importance of aligning AI applications with existing financial regulations and ethical standards to foster compliance and stakeholder acceptance. Case examples from global financial institutions demonstrate the potential of AI to uncover hidden discrepancies and streamline auditing practices. However, challenges such as algorithmic bias, data privacy concerns, and the need for upskilled talent must be addressed to ensure responsible and effective implementation. Ultimately, the strategic deployment of AI in financial reporting can significantly reduce operational risks, restore investor and public trust, and contribute to more resilient financial ecosystems. This offers practical guidelines for policymakers, financial institutions, and auditors to collaboratively adopt AI technologies while upholding transparency, integrity, and public confidence in financial disclosures.