Automated Risk Analysis System for Financial Documents

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Solution Overview

Problem

The finance industry lacks effective standards for documenting and analyzing business transactions and financing data, leading to complex and often inconsistent contractual agreements that increase risk and reduce the ability to make informed investment decisions due to the sheer volume and complexity of documents involved in transactions like securitization.

Innovation Solution

A computer system that utilizes a neural-like network for contextual extraction and analysis of risk factors, employing a database of specialized detection, scoring, and reporting tools to provide intuitive risk assessments by connecting investigative nodes and improving over time through user training and data storage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If detailed analysis of complex financial documents is performed manually, then investment decision accuracy is improved, but time consumption and labor costs increase significantly

Engineering Contradiction:

Improverisk analysis accuracyVSAvoidtime to make lending decision

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical analysis of financial documents with an automated computer-based system that uses optical character recognition (OCR), natural language processing, and machine learning algorithms to extract, analyze, and evaluate risk factors from complex financial documents, thereby maintaining high accuracy while dramatically reducing time consumption

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary automated analysis system that acts as a bridge between raw financial documents and investment decisions. This intermediary system processes documents through multiple stages including OCR conversion, data extraction, risk factor identification, and scoring, enabling both accuracy and efficiency

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive risk analysis of all document sections is conducted, then risk detection completeness is improved, but analysis complexity and resource requirements increase

Engineering Contradiction:

Improverisk detection completenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex analysis task into distinct modular components: document ingestion and OCR module, data extraction module, risk factor identification module, scoring module, and reporting module. Each module handles specific aspects of the analysis, improving reliability through specialized processing while managing overall system complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by focusing analysis on critical risk sections and key provisions identified through trained models, rather than uniformly analyzing every document section. The system prioritizes high-risk areas based on historical data and pattern recognition, achieving comprehensive risk detection with optimized resource allocation

Inventive Principle:

Principle #16Partial or excessive action

3Stability of the object's composition

If standardized analysis protocols are implemented across multiple transactions, then consistency and comparability are improved, but adaptability to unique transaction complexities decreases

Engineering Contradiction:

Improveanalysis consistencyVSAvoidtransaction-specific analysis flexibility

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic analysis protocols that adapt to each transaction's specific characteristics. The system uses machine learning models trained on diverse transaction types to automatically adjust analysis depth, focus areas, and risk weighting based on the unique features of each transaction, maintaining consistency in methodology while adapting to transaction-specific complexities

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent creates a universal analysis platform that handles multiple transaction types (loans, securities, derivatives, etc.) through a common framework. The system maintains standardized core protocols for consistency while incorporating flexible configuration options and transaction-specific modules that enable adaptation to diverse financial instruments and complex transaction structures

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12106382B2Computer system and method for detecting, extracting, weighing, benchmarking, scoring, reporting and capitalizing on complex risks found in buy/sell transactional agreements, financing agreements and research documents

Publication Date: 2024.10.01 CALLAHAN JAMES

AI summary

Computer-implemented systems and methods enhance a user's sophistication as she/he reviews complex information sources using specialized detective tools provided by a user interface of the computer system. The specialized investigative inquiries are stored in a database and are particularly tailored a priori by a subject-matter content designer for the type of documents being reviewed for risk and opportunity. The investigative scripts are organized into to a path of risk-related subjects or topics, and within each path of subjects/topics the investigative scripts are organized into a specialized inquiry or flow chart.