AI-Guided Software Modification Compliance and Documentation

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Solution Overview

Problem

Conventional systems face challenges in ensuring that software modifications comply with regulatory requirements due to opaque procedures lacking visibility and transparency, particularly in modern computing environments governed by compliance regulations.

Innovation Solution

An AI model is employed to document technical changes, evaluate compliance with software development guidelines, and generate supporting documentation, facilitating automated quality assurance testing and compliance evaluation, thereby improving the understanding and compliance of software modifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional systems are used for software modification procedures, then implementation can proceed, but compliance visibility and transparency are insufficient

Engineering Contradiction:

Improvecompliance assuranceVSAvoidvisibility and transparency

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system implements automated feedback loops where AI models continuously analyze code modifications, generate compliance assessments, and provide recommendations back to the development process. This creates a closed-loop system that maintains visibility and transparency throughout the software modification lifecycle, directly addressing the information loss problem while ensuring reliability.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

An AI-based intermediary system is introduced between the software modification process and compliance evaluation. This intermediary automatically documents technical changes, evaluates them against compliance regulations, and generates supporting documentation, thereby providing the needed visibility and transparency without disrupting the core development workflow.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If manual compliance checking is performed, then detailed evaluation is possible, but computing resource consumption and time are excessive

Engineering Contradiction:

Improvecompliance evaluation accuracyVSAvoidprocessing efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system enables self-service compliance evaluation where AI models automatically perform code analysis, compliance checking, and documentation generation without requiring extensive manual intervention. The system serves itself by autonomously evaluating modifications against compliance regulations, maintaining high precision while dramatically improving processing efficiency and reducing resource consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical compliance checking processes are replaced with AI-based automated systems. The AI models substitute human analysts by performing code review, compliance evaluation, and documentation tasks, thereby maintaining measurement precision while eliminating the time and resource overhead associated with manual processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If comprehensive compliance documentation is generated, then regulatory requirements are met, but the complexity of the process increases

Engineering Contradiction:

Improvecompliance certificationVSAvoidprocess complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system merges multiple compliance documentation tasks into a unified automated process. AI models simultaneously perform code analysis, generate compliance assessments, create supporting documentation, and certify regulatory requirements in an integrated workflow. This consolidation maintains comprehensive compliance coverage while reducing process complexity by eliminating separate manual steps.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The AI-based compliance system is designed with multi-functionality, serving as code analyzer, compliance evaluator, documentation generator, and certification authority simultaneously. This universal system handles diverse compliance requirements across different regulations through a single platform, reducing overall process complexity while ensuring thorough compliance coverage.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260017024A1Systems and methods for determining software modifications using advanced computational models for data analysis and automated processing

Publication Date: 2026.01.15 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for determining software modifications using advanced computational models for data analysis and automated processing. The present disclosure is configured to receive a proposed modification, wherein the proposed modification comprises configuring a code segment associated with a software environment; transform the proposed modification into a modification, wherein the modification dynamically configures at least a portion of the code segment; contextualize, using an artificial intelligence (AI) model, the modification, wherein contextualizing the modification comprises understanding the purpose of the modification; determine an impact of the modification upon the code segment; determine compliance of the modification with a compliance regulation; generate supporting documentation associated with the modification; and create a modified code segment, wherein the modified code segment comprises configuring the code segment to adopt the modification.