In a perfect storm of increased financial crime risk, growing AML regulations, and the need to embrace AI, compliance analysts are switching on AI powers like DeepDive to get more done, faster.
For many teams, manual EDD has reached a breaking point—the traditional approach of manually searching, reading, and documenting findings is no longer sustainable. Many of the MLRO’s we speak to explain how they are limited to the volume of EDD cases they can review by the headcount in their compliance team.
That shouldn’t be the case. The rise of AI affords us the opportunity to change the game for MLROs and financial crime investigators. Here’s a review of the challenges of manual EDD and how AI can supercharge capacity to extend EDD across a wider segment of risk cases.
DeepDive delivers investigations up to 10X faster than manual research by automating time-intensive tasks like search permutations, multi-language searching, source validation, and data synthesis. Instead of analysts spending hours clicking through search results and manually cross-referencing information, DeepDive's AI processes hundreds of sources simultaneously and presents structured, ready-to-review reports.
2. Comprehensive global coverage without false positivesDeepDive searches thousands of sources across multiple search engines, languages, and alphabets—far beyond manual research capabilities. Our sophisticated entity resolution algorithms eliminate false positives, ensuring only information related to the correct individual reaches your EDD reports. The system analyses court documents, business filings, media articles, social media posts, and compliance databases simultaneously, creating comprehensive intelligence without information overload.
3. Complete audit trails for regulatory confidenceEvery statement output to an EDD report maintains complete traceability with direct links to original sources, entity selection rationale, and source confidence calculations. DeepDive reports enable compliance teams to demonstrate to regulators exactly how EDD was conducted and provide the audit trail they require.
4. Enhanced risk identificationEntity matching across name variations, mis-spellings (often purposeful!) and language/character translations yields risk flags often missed with manual processes. Semantic categorization organizes content by risk type, while contextual analysis surfaces hidden connections between entities, transactions, and events. Interactive chatbots allow analysts to drill down into specific risk areas, ensuring critical risks aren't buried in irrelevant data.
5. Scalable, consistent methodologyDeepDive provides standardized processes delivering uniform results regardless of which team member initiates investigations. This consistency helps maintain EDD standards while supporting business growth without proportional resource expansion.
Competitive advantage goes to the teams that use knowledge engine not search engine
Manual EDD essentially relies on search engines to find information, then requires human analysts to process and synthesize findings. DeepDive represents the evolution from search engine to knowledge engine—not just finding information, but understanding, organizing, and delivering tailored insights .
Organisations using DeepDive report significant improvements: increased throughput without additional headcount, enhanced risk detection uncovering connections manual investigation would miss, and regulatory confidence through detailed audit trails.
This fundamental shift enables compliance teams to work smarter rather than harder, leveraging AI capabilities to enhance human judgment rather than replace it.
Want to experience the difference?