Money laundering continues to present a significant challenge to financial systems worldwide, including Bangladesh, where existing anti-money laundering (AML) practices often fall short. Hence, this research paper proposes a comprehensive framework integrating Blockchain technology and Artificial Intelligence (AI) to enhance the AML efforts in Bangladesh’s financial system. The study begins with a thorough review of current AML practices and identifies gaps in Bangladesh’s approach to combating financial crime. It then introduces a theoretical framework explaining the synergistic benefits of combining AI and Blockchain technologies. AI’s capacity to analyze vast amounts of transaction data and identify patterns that signify potential money laundering activities complements Blockchain’s ability to maintain transparent and unalterable records of financial transactions. A secondary research approach includes annual reports, published papers, and other open sources. The proposed framework is evaluated through determining control variables deemed relevant in this context. By integrating Blockchain and AI, this research paper aims to provide a promising and sustainable solution to Bangladesh’s persistent money laundering problem. In addition, this paper also offers insights into how advanced technologies like AI and Blockchain will strengthen AML measures to enhance the overall integrity of the financial system in Bangladesh.