Automated Audit Artifact Reconciliation Across Systems
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Solution Overview
Problem
Modern organizations face challenges in reconciling enterprise-wide information due to diverse identification and credentialing schemes, leading to difficulties in consolidating actions across multiple systems, especially with errors and non-uniformity in manual entry data.
Innovation Solution
The system provides automated audit artifact reconciliation by processing artifacts through a data processing system that locates, associates, and compares them with various data structures, enabling reconciliation even with dissimilar identifiers, and storing the results securely accessible by users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional manual entry methods are used for identifiers across multiple systems, then each system can maintain its own identification scheme, but enterprise-wide information consolidation becomes difficult and error-prone
Solution Approach 1:
The patent introduces an intermediary reconciliation system that sits between multiple independent identification schemes. This mediator automatically compares identifiers from different systems, detects matches despite formatting differences, and resolves discrepancies without requiring changes to the original systems. The intermediary handles the complexity of cross-system reconciliation while maintaining the flexibility of each individual system's identification scheme.
2Ease of operation
If diverse identification schemes are maintained across multiple systems, then each system can operate independently, but consolidating actions across the organization becomes challenging
Solution Approach 1:
The patent creates a copied and standardized representation of identifiers from various systems within the reconciliation framework. By copying identifier data into a unified comparison format while preserving the original system independence, the system can perform cross-system matching without disrupting the operational autonomy of individual systems. This copying approach allows consolidation of actions while maintaining system independence.
3Measurement precision
If automated reconciliation is implemented across multiple data structures, then matching accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing and standardizing identifier formats before the actual reconciliation process. It prepares comparison keys, normalizes data structures, and pre-identifies potential matches using simplified criteria. This preliminary action reduces the complexity of the main reconciliation task, allowing for faster and more accurate matching without requiring excessive processing time during the actual reconciliation operation.
Data Source
AI summary
The present solution provides systems and methods to receive an artifact, cause the artifact to be compared with many data structures such as files, based on the types of the data structures, determining a similarity between the artifact and elements of the data structures, comparing the similarity to one or more confidence intervals, and storing an output file containing one or more similar elements.