Orchestrator Program for Trial Balance Exception Resolution

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Solution Overview

Problem

Organizations face challenges in efficiently identifying and resolving data exceptions in trial balance analytics, requiring manual validation and lacking automated reactive systems for improving data accuracy and reducing manual work.

Innovation Solution

A system and method for trial balance analytics security maintenance that includes an orchestrator computer program to receive data, extract and validate elements, apply exception rules, identify exceptions, and perform automatic resolution by comparing values to threshold metadata, utilizing historical exception analysis for corrective actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual validation and review processes are used to identify and resolve data exceptions, then data accuracy can be maintained through human expertise, but productivity is reduced due to manual effort and time consumption

Engineering Contradiction:

Improvedata accuracyVSAvoidexception resolution efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service by implementing automated exception detection and resolution capabilities that operate independently without requiring manual intervention. The orchestrator computer program automatically retrieves data, applies exception rules, identifies exceptions, and resolves them through corrective actions, allowing the system to serve itself in maintaining data accuracy while improving productivity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual review process with an automated computer-based system. The orchestrator computer program substitutes human analysts by automatically performing data retrieval, validation, exception detection through rule application, and resolution actions, thereby maintaining reliability while significantly improving productivity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If comprehensive manual review processes are implemented to validate data elements and identify exceptions, then measurement precision of data quality can be improved, but loss of time increases due to extensive manual validation steps

Engineering Contradiction:

Improvedata element validation accuracyVSAvoidvalidation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies preliminary action by pre-defining exception rules and threshold values in the database before data validation occurs. These pre-configured rules enable the orchestrator program to automatically validate data elements against established criteria, achieving measurement precision without time loss as the validation logic is already prepared and can be applied instantaneously

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The manual validation process is replaced by an automated computer program that applies pre-defined exception rules and threshold comparisons. This substitution maintains measurement precision through systematic rule application while eliminating the time loss associated with manual review steps

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated exception detection systems are implemented to improve productivity, then productivity increases through faster processing, but device complexity increases due to additional systems and components

Engineering Contradiction:

Improveexception processing speedVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The orchestrator computer program embodies universality by performing multiple functions within a single system: data retrieval from multiple sources, data element extraction, validation against exception rules, exception identification, and automated resolution. This multi-functionality improves productivity while minimizing device complexity by consolidating what could be separate systems into one unified orchestrator

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Adaptability or versatility

If manual teams are used to research and close out data exceptions, then adaptability to handle various exception types can be maintained through human judgment, but loss of time increases due to sequential research steps

Engineering Contradiction:

Improveexception handling flexibilityVSAvoidexception resolution time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent replaces manual exception research teams with an automated orchestrator program that applies exception rules and threshold comparisons. This substitution maintains adaptability through configurable rules that can handle various exception types while dramatically reducing the time loss associated with sequential manual research steps

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250022069A1Systems and methods for trial balance analytics security maintenance

Publication Date: 2025.01.16 JPMORGAN CHASE BANK NA

AI summary

Systems and methods for trial balance analytics security maintenance are disclosed. A method may include: (1) receiving, by an orchestrator computer program, data from a plurality of data sources; (2) extracting, by the orchestrator computer program, data elements from the data according to a definition; (3) validating, by the orchestrator computer program, the data elements; (4) retrieving, by the orchestrator computer program, metadata comprising threshold values for the extracted data elements, (5) retrieving exception rules from a database; (6) applying, by the orchestrator computer program, the exception rules to the data elements by comparing values for the data elements to corresponding threshold values; (7) identifying, by the orchestrator computer program, an exception based on the value for one of the data elements breaching the corresponding threshold value; and (8) performing, by the orchestrator computer program, automatic exception resolution on the data associated with the one data element.