Trust Distribution Predictor for Consistent Discretionary Decisions
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Solution Overview
Problem
Current trust beneficiary cash distribution processes are highly subjective and prone to inconsistencies due to personal bias and lack of clear criteria, leading to inconsistent decision-making.
Innovation Solution
An automated system utilizing supervised learning and Natural Language Processing (NLP) to analyze trust historical data, beneficiary requests, and governing restrictions to generate standardized discretionary distribution decisions, providing feedback for refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual decision-making by trust officers is used, then flexibility and discretion can be maintained, but consistency and objectivity deteriorate due to personal bias and lack of clear criteria
Solution Approach 1:
The patent replaces the manual mechanical decision-making process with an automated computer-based system that uses algorithms and data processing to evaluate distribution requests, eliminating human bias while maintaining the discretion needed for trust management
Solution Approach 2:
The system enables self-service through automated evaluation where the computer system independently analyzes distribution requests against trust agreement criteria and generates decisions without requiring constant human intervention, improving both consistency and efficiency
2Productivity
If manual analysis of trust documents and beneficiary requests is performed, then contextual understanding can be maintained, but processing time and efficiency deteriorate
Solution Approach 1:
The patent substitutes manual document analysis with automated computer processing that can rapidly parse trust agreements, evaluate beneficiary requests, and retrieve historical data, reducing decision time from months to minutes while maintaining comprehensive analysis
Solution Approach 2:
The system performs preliminary actions by pre-processing trust documents, historical data, and evaluation criteria into ready-to-use data structures that the automated system can quickly reference during decision-making, eliminating the need for manual review of all documents each time
3Manufacturing precision
If subjective evaluation criteria are used, then flexibility for individual cases can be maintained, but fairness and uniformity deteriorate across different beneficiaries
Solution Approach 1:
The patent changes the evaluation parameters from subjective human judgment to objective, measurable criteria that are consistently applied across all cases, using defined weights and thresholds for different evaluation factors to ensure uniform and fair treatment of all beneficiaries
Solution Approach 2:
The system incorporates feedback mechanisms that allow review and adjustment of decisions, providing transparency in the evaluation process and enabling continuous improvement of the decision-making algorithm while maintaining consistent application of criteria
Data Source
AI summary
An embodiment of the present invention is directed to automated trust discretionary distribution decisions. The innovative system comprises a computer server configured to perform the steps of: receiving, via an electronic input, a trust beneficiary cash distribution request relating to a trust instrument; responsive to the trust beneficiary request, obtaining trust details relating to the trust instrument; applying, via a computer server, a trust decision predictor to the distribution request to generate a trust decision wherein the trust decision predictor considers a set of decision factors comprising the trust beneficiary cash distribution request, beneficiary details, trust details and applicability of governing restrictions; presenting, via an electronic interface, the trust decision; automatically executing the trust decision; and applying feedback data to refine and standardize the trust decision predictor.