Automated Code Compliance Evidence Mapping Across APIs
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Solution Overview
Problem
Large entities face inefficiencies in tracking and enforcing compliance requirements due to inconsistent formats and structures, leading to increased labor costs and interruptions in processes, especially when non-technical teams manage compliance reporting.
Innovation Solution
A compliance computing system generates an evidence repository that aggregates data from multiple sources, maps it to requirements, and services compliance queries in real-time, providing a searchable database for efficient compliance determination and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual compliance tracking and reporting is performed by employees, then compliance evidence can be provided to stakeholders, but labor costs increase and process interruptions occur
Solution Approach 1:
The system enables automated self-service compliance tracking where the compliance management system automatically collects evidence data from multiple sources, maps it to requirements, and generates compliance reports without requiring manual employee intervention. The system serves itself by continuously monitoring and updating compliance status based on incoming data from integrated sources.
Solution Approach 2:
The patent replaces the mechanical manual process of compliance tracking with an automated computational system. Instead of employees manually collecting and organizing compliance evidence, the system uses automated data collection, mapping algorithms, and report generation mechanisms to substitute human labor with computational processes.
2Measurement precision
If compliance evidence is manually collected and organized, then compliance status can be determined, but time consumption and labor costs increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing the evidence repository structure, pre-configuring data mapping rules for requirements, and pre-integrating data sources before compliance reporting is needed. This preparation work is done continuously in the background, so when compliance status determination is needed, the system can quickly query and report without manual collection efforts.
Solution Approach 2:
The compliance management system operates continuously to collect, map, and update compliance evidence data from multiple sources. Rather than performing discrete manual collection tasks, the system maintains continuous operation to keep the evidence repository current, enabling real-time or near-real-time compliance status determination without interrupting business processes.
3Ease of operation
If multiple data sources are integrated into a centralized repository, then compliance evidence accessibility improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer - the evidence repository with standardized data mapping - that sits between multiple diverse data sources and the compliance reporting functions. This intermediary standardizes the interface to various data sources through consistent mapping rules, simplifying retrieval operations while managing the complexity of integrating multiple sources through a unified access point.
4Productivity
If automated compliance tracking is implemented, then labor costs decrease, but system complexity and initial investment increase
Solution Approach 1:
The compliance management system is designed with multi-functionality to handle various compliance requirements, data sources, and reporting needs through a single unified platform. By making the system universal - capable of managing different types of compliance evidence from multiple sources using standardized processes - the initial complexity investment is amortized across diverse compliance management tasks, reducing the complexity-to-value ratio.
Data Source
AI summary
In some aspects, a compliance computing system can generate an evidence repository including evidence data received via an application programming interface (API) from one or more external systems. The system can generate an evidence repository including evidence data received via an application programming interface (API) from one or more systems. The system can receive a compliance request including a compliance query, the compliance query including a requirement identifier associated with a target requirement. The system can also query the evidence repository based on the requirement identifier to retrieve the evidence data associated with the target requirement. Finally, the system can transmit, via a firewall of the compliance computing system, a response message to an external computing system, wherein the response message includes the retrieved evidence data.


