Bank reconciliation is a critical financial process that ensures the accuracy of a company’s financial records by matching internal transactions with external bank statements. Traditionally, this process has been manually intensive, prone to errors, and time-consuming, which can lead to inaccuracies in financial reporting. The integration of intelligent audit controls  leveraging technologies such as artificial intelligence (AI), machine learning (ML), and data analytics offers a transformative solution to improve the accuracy and efficiency of bank reconciliation. This conceptual framework proposes an innovative approach to bank reconciliation by incorporating automated data aggregation, intelligent transaction matching, and anomaly detection. AI-driven systems can automatically collect and compare data from internal financial records and external bank statements, identifying discrepancies that may indicate errors or fraud. Machine learning algorithms further enhance the process by continuously learning from historical data, improving the system’s ability to predict and identify potential issues over time. Incorporating manual oversight into this system ensures that complex or exceptional discrepancies are reviewed by financial experts. This hybrid model of automation and human intervention enhances both the accuracy and efficiency of the reconciliation process. Intelligent audit controls also offer the advantage of real-time monitoring, providing up-to-date insights into the reconciliation process and allowing for quicker resolution of discrepancies. The benefits of this framework include improved accuracy in financial reporting, enhanced fraud detection, and increased operational efficiency. Additionally, the integration of intelligent audit controls helps mitigate the risks associated with traditional manual reconciliation processes, supporting a more reliable, transparent, and scalable system. Overall, this conceptual framework demonstrates the potential of intelligent audit technologies to revolutionize the bank reconciliation process, ensuring greater financial integrity and compliance.