Money laundering poses a significant threat to the global financial system by enabling illicit activities that affect the economy globally. In recent years, the rise of artificial intelligence (AI) has offered new opportunities to enhance the detection and prevention of money laundering activities. This work of the Author is an attempt to analyze and overview money laundering, highlighting the importance of combatting this criminal activity and exploring the role of AI in addressing this critical issue. The first section explains money laundering and the second section describes the role of AI in detecting the same along with a brief description of the workings of the AI model to detect such instances. The third section gives an overview of anti-corruption efforts in India and the fourth section talks of integration of AI in Anti Corruption Bureaus of India. Subsequently, challenges in implementing AI in Anti Money Laundering (AML) efforts are discussed. The sixth section discusses recommendations for integrating AI in anti-corruption and AML Strategies. Based on the research, the author has concluded that while AML AI is being used extensively in financial institutions, the pace is not the same for the ACBs of the country. Significant progress can be made to develop and integrate AI specifically for AML in governmental institutions.