Key Moments:
- DeepDive has launched an AI-powered solution to help AML teams perform Enhanced Due Diligence (EDD) and player investigations.
- The new platform integrates multi-language web search, regulatory data, and generative AI to deliver structured intelligence reports.
- After a six-month beta, compliance teams have already leveraged the platform to analyze high-risk customers more efficiently worldwide.
Addressing Challenges in AML Investigations
DeepDive has introduced a new AI platform targeted at Anti-Money Laundering (AML) compliance teams involved in Enhanced Due Diligence (EDD) and player investigations. Traditionally, AML professionals in the gaming sector have been forced to choose between investing days in in-depth research or conducting hurried investigations that could overlook important intelligence. This challenge is further complicated by the need to evaluate source of funds from customers around the globe.
Technology-Driven Approach to EDD
This platform combines multi-language online searches with global regulatory compliance checks to broaden the reach of EDD activities. Teams gain access to a wide variety of open-source data, including public records, corporate filings, legal documents, news sources, social media, and sanctioned lists such as PEP, sanctions, and watchlists. The data aggregation is facilitated by advanced search methods, natural language processing, entity resolution, and generative AI.
Information is consolidated into structured EDD reports that can be organized by timeline, alert type, or risk category. Analysts can further interact with a built-in chatbot, enabling direct queries to better understand and contextualize findings for informed risk assessment.
Industry Expertise and Beta Success
The DeepDive team brings experience from multiple successful fraud investigation and KYC platforms. As noted by David Pope, COO at DeepDive, “DeepDive addresses the pain points facing compliance teams such as time-intensive manual research, incomplete data, language barriers, false positives, and the challenge of processing vast amounts of information at scale,”
The solution demonstrated its effectiveness during a six-month beta, partnering with MLROs and outsourced EDD providers. Compliance teams were able to generate richer intelligence on high-risk users worldwide, using less time and resources. The use of AI allowed teams to uncover intelligence previously missed by manual processes and expand EDD coverage to a broader range of transactions.
Comprehensive Reporting and Risk Analysis
By generating multiple search permutations across open sources and compliance databases in relevant languages, the platform minimizes false positives via entity resolution and produces detailed, cited reports through generative AI. Each report covers critical factors, including personal background, legal and financial status, compliance track record, and key relationships. Insights include recognized associates, operational locations, company ties, political connections, and possible criminal activity, all presented for rapid consumption and analysis.
| Feature | Description |
|---|---|
| Multi-language Search | Analyses data in any language or alphabet |
| Structured EDD Reports | Presents intelligence by timeline, alert type, or risk category |
| Entity Resolution | Reduces false positives in investigations |
| Generative AI | Produces reports with citations and audit trails |
| Built-in Chatbot | Allows direct analyst engagement with findings |
Requesting a Platform Demonstration
MLROs and financial crime specialists who seek to advance their EDD methods and surpass the limitations of manual research can request a demonstration at www.deep-dive.com.
- Author
Daniel Williams
