AI Document Analyzer for Policy Compliance
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Solution Overview
Problem
Current systems for managing transactional documents are inefficient and prone to errors when analyzing complex policies and guidelines, requiring skilled labor and being resource-intensive, especially since each document is specific to a domain.
Innovation Solution
A document analysis system using AI techniques to generate knowledge models from guidelines, which include hypothetical questions and logical flows, to efficiently and accurately analyze transactional documents by extracting relevant elements and features, reducing computational resources and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rule based policies are used to review transactional documents, then comprehensive policy coverage is achieved, but the reviewing process becomes cumbersome, resource intensive, and error prone
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated AI-based document analyzer that uses natural language processing and machine learning to comprehend transactional documents against predefined policies, eliminating human error and resource intensity while maintaining comprehensive policy coverage
Solution Approach 2:
The document analyzer system performs self-service by automatically identifying applicable policies, extracting relevant document elements, and performing compliance analysis without requiring skilled human labor intervention, thereby improving both efficiency and accuracy
2Measurement precision
If skilled labour is used to perform domain-specific analysis, then accurate comprehension is achieved, but resource consumption increases and scalability decreases
Solution Approach 1:
The patent substitutes skilled human analysts with an AI-based document analyzer that uses natural language processing and domain-specific knowledge bases to achieve accurate comprehension of transactional documents without requiring human expertise or consuming human resources
Solution Approach 2:
The document analyzer is designed as a universal system capable of performing domain-specific analysis across multiple transaction types and industries by loading appropriate policy frameworks and knowledge bases, eliminating the need for domain-specific human expertise while maintaining accuracy
3Reliability
If comprehensive policy review is performed on each transactional document, then policy compliance is ensured, but the process becomes time consuming and resource intensive
Solution Approach 1:
The patent implements preliminary action by pre-processing policies into structured formats, pre-identifying applicable policy frameworks based on document type, and pre-configuring analysis parameters before actual document review, thereby reducing the time required for comprehensive policy compliance checking
Solution Approach 2:
The document analyzer segments the comprehensive policy review process into distinct modules: document classification, applicable policy identification, element extraction, and compliance analysis, allowing parallel processing and reducing overall analysis time while ensuring thorough compliance verification
Data Source
AI summary
Examples of analyzing documents are defined. In an example, a request to analyze a document may be received. A knowledge model corresponding to a guideline associated with the document may be obtained. The knowledge model may include at least one of a hypothetical question and a logical flow to determine an inference to the hypothetical question. The hypothetical question relates to an element of the guideline. Based on the knowledge model, data from the document may be extracted for analysis using an artificial intelligence (AI) component. The Ai component may be configured to extract and analyze data, based on the knowledge model. Based on the analysis, a report indicating whether the document falls within a purview of the guideline may be generated.