Money laundering and terrorism financing laws apply to millions of businesses, across 30+ industry sectors, and in over 200 Financial Action Task Force (FATF) member countries. And yet, there is no industry standard on how businesses should apply the risk-based approach (RBA) when developing Enterprise-wide money laundering and terrorism financing risk assessments. In this episode of RegTech Round-up, Charlene Sebastian, Head of Client Success at MinervaAI and strategic advisor to the Canadian RegTech Association (CRTA), talks with Anthony Quinn, Founder and CEO of Arctic Intelligence, a multi-award-winning RegTech firm specializing in software for enterprise-wide audit, compliance, and risk management related to financial crime, about how firms can dramatically simplify the EWRA by maximising their data and using technology to automate the process; to reduce residual risk exposure and be more strategic in the application of enterprise risk controls to improve operational processes, remove bias and drive revenue. Anthony also highlights key findings from the Arctic Intelligence 2022 AML Industry Benchmarking report. Many organisations struggle to identify and assess their risks and vulnerabilities to financial crime and as a result may not design, implement and maintain controls that are appropriate and proportionate to these risks.  More often than not enterprise-wide risk assessments (EWRAs) are conducted manually on spreadsheets, which are often not fit for purpose and take too long to complete, resulting in risks being presented to Boards that are more likely than not, out of date.