Convert AML/KYC Challenges into Business Value
Financial institutions today are susceptible to money laundering. They need trustworthy approaches to integrate the three distinct AML silos of KYC, transaction monitoring, and sanctions screening in a reliable, repeatable, sustainable way.
Sutherland, in partnership with Innovative Systems, makers of FinScan – have introduced a paradigm shift in end-to-end compliance. Our solution combines FinScan’s AML compliance technology with Sutherland’s global footprint for managed services and digital transformation expertise. Financial institutions can now get a complete picture of their customer, gather and understand data more efficiently, and achieve the protection and compliance risk management they need to safely and confidently focus on business outcomes for sustained growth.
By integrating AML risk management, we’re able to allocate greater time and resources toward helping you expand your business with greater speed and efficiency by identifying good prospects and addressing any issues early on in the process.
- Manage AML Risk
- Improve Business Value
- Enhance the Customer Experience
- Enable Frictionless Customer Interactions
With an integrated platform, you can gather, manage, and interpret data at greater speed and with up to 99.5% accuracy (based on our proprietary Crowdsourced AI approach) so you can:
- Gather (both internal and external) data more intelligently to better enable KYC, transaction monitoring, and sanctions screening processes
- Clean and match data to help ensure its accuracy and effective use with up to a 10-fold reduction in false positives
- Integrate data from a full range of sources to create a more complete picture
- Architect data for a more effective understanding of the customer and associated relationships
- Use AI and machine learning across all functions to analyze data and create meaning and insight
- Monitor and update AML/KYC data to ensure its ongoing accuracy
- Create and maintain dynamic customer risk ratings based on integrated information to enable actionable recommendations and effectively manage AML risk
