Automated Loan Audit Tool Using NLP for Risk Assessment

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Solution Overview

Problem

Current loan audit processes rely heavily on human experience and judgment, leading to inconsistencies, inefficiencies, and high costs due to the need for manual review of a small sample of loans, which can result in inaccurate risk assessments and increased labor expenses.

Innovation Solution

An automated loan audit system with chained confidence scoring and an Audit Document Investigation Tool that uses cognitive processing tasks, natural language processing, and machine learning to analyze and prioritize documents, providing a consistent workflow for auditors and enhancing the accuracy and efficiency of risk determinations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If manual review of a small sample of loans is used, then labor costs are reduced, but measurement precision and reliability of risk assessment deteriorate

Engineering Contradiction:
Improvelabor costsVSAvoidrisk assessment accuracy
Core Design Contradiction:
Loss of energyVSMeasurement precision

Solution Approach 1:

The patent replaces manual mechanical review processes with automated cognitive processing systems including natural language processing, machine learning models, and document analysis algorithms. This substitution enables comprehensive analysis of all loan documents without human labor while maintaining or improving assessment accuracy through consistent application of analytical criteria across the entire portfolio.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates digital copies and representations of loan documents that can be analyzed computationally. By converting physical or PDF documents into structured data formats, the system enables automated extraction and analysis of risk factors from all loans simultaneously, eliminating the need for manual sampling while preserving measurement precision.

Inventive Principle:
Principle #26Copying

2Measurement precision

If comprehensive analysis of all loans is performed, then measurement precision improves, but productivity and time consumption worsen

Engineering Contradiction:
Improverisk assessment accuracyVSAvoidaudit throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the loan audit process into distinct automated components: document ingestion, information extraction, risk factor identification, anomaly detection, and reporting. This segmentation allows parallel processing of multiple loans simultaneously, maintaining comprehensive analysis precision while dramatically improving productivity through automated workflow execution.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements continuous automated analysis of all loan documents without interruption or sampling gaps. The cognitive processing system operates continuously to evaluate the entire loan portfolio, ensuring no loans are missed while maintaining high productivity through automated batch processing and efficient resource utilization.

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If multiple human reviewers are used to resolve differences, then reliability improves, but loss of time and productivity worsen

Engineering Contradiction:
Improveconsistency of risk ratingsVSAvoidtime for dispute resolution
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements feedback mechanisms where the automated system continuously learns from audit outcomes and adjusts its analysis parameters. The system provides consistent risk ratings based on standardized algorithms, and when human reviewers validate or correct assessments, this feedback is used to refine the automated system's performance, eliminating the need for time-consuming human dispute resolution while maintaining or improving reliability.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The automated cognitive processing system performs self-validation through internal consistency checks and cross-referencing of extracted data. The system independently resolves potential ambiguities through predefined logic and algorithms, eliminating the need for multiple human reviewers to reach consensus while maintaining reliable and consistent risk assessments across the portfolio.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11468237B2Audit investigation tool
Publication Date: 2022.10.11 KPMG LLP
  • US11468237B2 patent drawing
  • US11468237B2 patent drawing
  • US11468237B2 patent drawing

AI summary

The invention relates to a computer-implemented system and method for providing an Audit Document Investigation Tool that augments the audit process at various investigation stages. As a critical component of audit technology initiatives, the Audit Document Investigation Tool provides a consistent, efficient workflow to ingest, automatically prioritize and investigate documents, leverageable by any procedure workflow and linkable to platforms for full audit trail and subsequent review.