Scoring
Scoring in the context of Anti-Money Laundering (AML) refers to a feature within the software that assigns numerical values or risk scores to customers, transactions, or activities based on predefined risk factors. These factors may include geographic location, transaction volume, frequency of activity, and other relevant criteria that could indicate potential involvement in money laundering or other illicit activities. The software uses scoring algorithms to assess and prioritize risks, enabling organizations to focus their resources on the highest-risk cases. By automating the scoring process, AML software helps improve decision-making, streamline investigations, and ensure compliance with regulatory requirements.
This software is researched and edited by
Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
