Robotic Process Configuration for Automated Loan Evaluation

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Solution Overview

Problem

Lending transactions face challenges such as opacity and asymmetry of information, moral hazard, complexity in application and negotiation processes, burdensome regulatory regimes, and difficulties in determining collateral value and financial health of entities.

Innovation Solution

A lending transaction enablement platform with integrated microservices including data collection, blockchain, and smart contract services, utilizing IoT, crowdsourcing, and social network analytics to monitor assets and entities, adjust interest rates, and automate debt restructuring and loan negotiations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If traditional manual processes are used for lending transactions, then human judgment and flexibility are maintained, but information asymmetry and opacity persist

Engineering Contradiction:

Improveinformation asymmetryVSAvoidmanual processing

Core Design Contradiction:

Loss of informationVSExtent of automation

Solution Approach 1:

The patent replaces manual mechanical review processes with automated robotic process automation systems that use AI, machine learning, and natural language processing to evaluate loan applications, monitor collateral, and assess borrower financial health. This substitution eliminates information asymmetry by systematically collecting and analyzing data from multiple sources including IoT devices, public records, and financial databases.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements continuous feedback loops where robotic process automation continuously monitors borrower behavior, collateral condition via IoT sensors, and financial health metrics. This real-time feedback enables dynamic adjustment of loan terms, interest rates, and risk assessments, reducing information asymmetry between lender and borrower throughout the loan lifecycle.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If complex manual negotiation processes are used, then detailed term customization is achieved, but process complexity and time consumption increase

Engineering Contradiction:

Improvenegotiation processVSAvoidprocess complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent enables self-service loan negotiation through robotic process automation systems that automatically generate loan offers, simulate different term scenarios, and negotiate terms based on pre-configured parameters and AI-driven risk assessment. Borrowers can independently review and select terms without extensive manual negotiation, dramatically simplifying the process while maintaining customization.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-configuring loan parameters, risk thresholds, and negotiation boundaries before the lending process begins. Robotic process automation systems pre-analyze borrower data and pre-generate optimized loan terms, eliminating the need for complex real-time negotiation and reducing both process complexity and time consumption.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If extensive manual review is performed for regulatory compliance, then compliance thoroughness is ensured, but processing time and operational burden increase

Engineering Contradiction:

Improveregulatory complianceVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual compliance review with robotic process automation systems that automatically screen loan applications against regulatory requirements, monitor transactions for suspicious activity, and generate compliance reports. These systems use AI and machine learning to interpret evolving regulatory standards and maintain compliance without increasing processing time or operational burden.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If traditional collateral valuation methods are used, then simplicity is maintained, but valuation accuracy and reliability decrease

Engineering Contradiction:

Improvecollateral valuationVSAvoidvaluation system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements a universal robotic process automation platform that performs multiple functions including collateral valuation, financial health assessment, risk analysis, and loan monitoring. The system integrates with IoT devices, public records databases, and financial institutions to automatically collect and analyze diverse data sources, dramatically improving valuation precision while the modular architecture manages system complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11550299B2Automated robotic process selection and configuration

Publication Date: 2023.01.10 STRONG FORCE TX PORTFOLIO 2018 LLC

AI summary

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.