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Frequently Asked Questions

A sample set of the DeepDive UI that improves the quality and speed of EDD

Over the last eighteen months we’ve built DeepDive with feedback and input from MLRO’s, investigative journalists, financial crime fighters, EDD experts, and the law enforcement, intelligence and security communities.  Here's some of the questions that we got along the way...

How does DeepDive help regulated firms comply with AML regulations?

Regulators such as the Financial Conduct Authority require regulated entities to use open-source internet checks and commercially available databases when researching potential high-risk customers*.

DeepDive automates the collection and analysis of open source and commercial database Enhanced Due Diligence data, ensuring comprehensive coverage across multiple languages, jurisdictions, and data source types that would be impossible to achieve manually.

DeepDive employs an AI technique called prompt engineering to build structured intelligence reports that include full source citations with source confidence and quality scoring.

With DeepDive, compliance teams can reduce the risk of missing critical information that could result in regulatory penalties or reputational damage.

*See FG 18/5: Guidance on financial crime systems and controls

How does DeepDive enable more exhaustive but relevant EDD?

DeepDive searches thousands of sources across multiple search engines, languages, and alphabets—far beyond what manual research can achieve. 

DeepDive analyses and cross references court documents, business filings, company reports, media articles, social media posts and compliance databases simultaneously, creating a comprehensive intelligence picture.

Our structured intelligence reports and chatbot interrogation delivers only relevant, high-confidence information, giving you exhaustive coverage without information overload.

Read our blog: Five ways to extend the investigative horizon with DeepDive's search tools

How can DeepDive speed up EDD and save me hours of compliance analyst effort?

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.

This efficiency gain allows your team to complete more EDD reviews with the same resource, redirecting expensive human expertise into higher value activities like complex case analysis or client relationships. 

Read our blog: Why compliance teams are choosing DeepDive over manual EDD

How does DeepDive show EDD evidence and an audit trail if the regulator asks how we have conducted EDD?

Our intelligence reports link every statement back to the sources that statement was based on. Clients can easily click through to the source, and review the source material before making compliance decisions.   

Every statement in DeepDive reports maintain complete traceability to show entity and source selection rationale, and source confidence calculations.

This transparency enables clients to demonstrate to regulators exactly how EDD was conducted, and using what sources.  


Can AI cut through all the noise and help my analysts unearth the risk we're looking for?

DeepDive is designed to remove the swivel chair problem where compliance analysts have to move between multiple screens with their CRM, their compliance tools, and lots of open browser tabs.  

DeepDive's AI has been coached to extract risk indicators across financial crime, high risk-relationships, legal issues, malpractice and compliance risk. Our semantic categorization organises content by risk type, while contextual analysis surfaces hidden connections between entities, transactions, and events.

Our outputs are designed so that analysts can get to the heart of the matter fast with easy to digest timeline, short report or long report options. After scanning the summary, risk alerts and timeline, most of our clients tend to interrogate the report and drill down into specific risk areas with our chatbot.   

How does DeepDive govern and control the AI it uses?

DeepDive combines proven technology with carefully controlled AI applications, ensuring reliability while maintaining transparency in every decision. Here's how we ensure AI reliability:

Multi-model approach: We use different AI systems optimised for specific tasks, with thorough testing before deployment to maintain consistent performance
Controlled processing: Our development process follows strict controls that prevent AI speculation or unsupported conclusions
Quality assurance: Multiple AI systems provide independent verification, while confidence scoring gives complete transparency into how conclusions are reached
Audit capability: Every AI decision can be traced and verified, meeting regulatory requirements for explainable automated processes