The Body of Knowledge: From resolved entity to insight

After DeepDive's entity resolution ensures all collected data pertains to the correct individual, it’s time to transform structured, targeted information into actionable intelligence. This is where our sophisticated Body of Knowledge creation system comes into play—using AI prompt engineering and Large Language Models to extract meaningful statements and build comprehensive intelligence frameworks.

For compliance analysts and investigators conducting manual Enhanced Due Diligence (EDD), this phase typically involves synthesizing information across dozens of sources, creating summary notes, and attempting to build a coherent picture—a process that's both intellectually demanding and highly variable in quality. 

The challenges of manual intelligence synthesis

Here's what makes manual knowledge compilation so challenging for compliance teams and investigators:

• Information fragmentation: Relevant details are scattered across hundreds of sources with no systematic way to organize findings
• Synthesis complexity: Building coherent narratives from disconnected data points requires significant analytical expertise
• Inconsistent documentation: Different analysts create different types of notes and summaries, leading to variable output quality
• Source attribution: Maintaining clear links between conclusions and supporting evidence becomes increasingly difficult
• Context preservation: Critical nuances and qualifying statements can be lost during manual summarization

These challenges often result in incomplete intelligence products, with key insights potentially overlooked or important caveats omitted from final assessments.

DeepDive's intelligent Body of Knowledge system addresses these challenges through five key capabilities:

1. Prompt engineering for statement extraction

DeepDive uses sophisticated prompting techniques to guide Large Language Models in extracting meaningful statements:

• Structured questioning: LLMs are coached with specific questions about adverse media, legal matters, business relationships, and wealth sources
  
• Context preservation: Prompts ensure that qualifying language and nuances are maintained in extracted statements
• Attribution requirements: Every statement must be directly attributable to source material without inference or speculation
• Consistency rules: Standardized prompting ensures uniform statement formats across all investigations

This systematic approach ensures that LLMs extract information in a consistent, reliable manner that meets due diligence standards.

2. Multi-layered statement validation

DeepDive employs multiple verification methods to ensure statement accuracy and reliability:

• Cross-referencing: Statements are checked against multiple sources for corroboration
• Logical consistency: The system identifies contradictions or inconsistencies within the assembled knowledge base
• Confidence assessment: Each statement receives a confidence score based on source quality and corroboration level
• Bias detection: Language patterns are analysed to identify potential bias or speculation in source material

This validation layer ensures that only reliable, well-supported statements make it into the final Body of Knowledge.

Information is structured according to predefined frameworks relevant to specific use cases:

• Risk categories: Statements are organized by PEP status, sanctions exposure, adverse media, and legal issues
• Temporal sequencing: Events and activities are arranged chronologically to show patterns over time
• Relationship mapping: Connections to associates, organizations, and entities are systematically documented
• Materiality assessment: Information is prioritized based on its relevance to specific due diligence requirements

This structured approach ensures that the most important information is readily accessible and contextually organised.

4. Confidence scoring and source weighting

DeepDive applies sophisticated methods to assess the reliability of extracted statements:

• Source credibility analysis: Publication type, authorship, and institutional reputation are factored into confidence scores
• Corroboration weighting: Statements supported by multiple independent sources receive higher confidence ratings
• Recency factors: More recent information is weighted appropriately while maintaining historical context
• Logical coherence: Statements that fit consistently with other verified information receive higher confidence scores

These assessments provide analysts with clear guidance on which information carries the most weight for decision-making.

Every statement in the Body of Knowledge maintains complete traceability:

• Source documentation: Direct links to originating web pages, documents, or databases
• Extraction methodology: Documentation of which prompts and processes were used to extract each statement
• Confidence rationale: Clear explanation of why each statement received its confidence score
• Verification history: Record of validation steps and cross-referencing performed

This transparency enables analysts to verify any statement independently and provides complete documentation for regulatory or audit purposes.

 Beyond statement extraction…

DeepDive's Body of Knowledge creation provides the foundation for the final stages:

• Report generation with customisable sections tailored to specific use cases
• Interactive chatbot interrogation allowing targeted questioning of the knowledge base
• Ongoing monitoring to identify new information and update existing intelligence
• Integration with compliance workflows and case management systems

By transforming the complex process of intelligence synthesis into a systematic, repeatable procedure, DeepDive enables compliance teams and investigators to focus on analysis and decision-making rather than information compilation.

The result? Investigations that produce more comprehensive, reliable intelligence in significantly less time, with complete transparency and traceability for every conclusion.

Want to read more?  Intelligence delivered: How DeepDive transform knowledge into intelligence reports