AI Review by RDC
Our newest solution to financial crime provides increased speed and accuracy for financial institutions' compliance screening processes. Configure AI Review to your organization's preferred risk tolerance and execute additional adverse media screening to manage reputational and regulatory risks.
Supporting Your KYC/AML Program
The challenge of the AML industry has shifted from collecting massive amounts of data to understanding it; turning data into knowledge, conclusions and actions. AI Review enables real-time response with expert analyst-level effectiveness.
The New Way to Work
It is revolutionizing every aspect of how financial institutions operate, including more effective customer screening.
Risk Data Content and Curation
Largest relevant data set collected over nearly two decades. Machine learning model reduces non-risk relevant data noise in false positives.
Level One Analyst Screening and Decisioning
Increased RDC analyst review and enhancements. AI-enhanced learning from decisioning criteria.
Technology-based First Level Financial Crime Screening
Real-time responses with analyst effectiveness and learning enhancements.
Benefits of AI Review
RDC is building defensible AI in AML’s highly regulated environment because we understand how decisions are made. We have been validating our models for the past decade. We have an immense amount of curated matches and decisioning scenarios that we have collected and stand uniquely positioned to prove the best AI outcomes.
Speed
Immediate response rate for quick compliance because a days long approach is no longer enough
Scalability
Screen more of your portfolio within budget and with current resources
Consistency
Remove manual processes for consistent decisioning responses
Transparency
Meet increased regulatory supervision calling for transparency in your AML/KYC program
Technology
Eliminate the noise inherent to the limitations of current rules-based automation
History
Powered by the largest database of customer screening data and our level one analyst decision learnings