Comparative Analysis of AML Frameworks and Their Effectiveness in Mitigating Financial Crime

Financial crime continues to be a major global concern as criminals adopt sophisticated methods to disguise illicit funds. In response, Anti-Money Laundering (AML) frameworks, including Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), Transaction Monitoring (TM), while also including Suspicious Transaction Reporting (STR), forms key parts of compliance frameworks. This study looks at how well anti-money laundering methods work in spotting financial crimes – using insights from real tasks done at Genpact. It also draws data from international standards like FATF, RBI, and FIU-IND, along with sector reports. Workflows, warning signs, and rule-based checks in banks are examined to assess their role in stopping illegal flows. Results stem from practical work along with external data to add depth. While CDD and KYC set the base, EDD, risk ratings, or tech-driven transaction tracking boost detection power. Still, issues like incorrect alerts, missing paperwork, even uncooperative clients slow things down. In the end, a clear anti-money-laundering mindset, smart data tools, plus ongoing checks make prevention far more effective. The research clarifies why some AML systems work better than others – while also giving useful guidance for officials, oversight bodies, or banks aiming to strengthen anti-financial crime tactics.