Integration Point NFTs for Faster Enterprise Change Impact Analysis

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Solution Overview

Problem

Traditional methods for managing enterprise application integration are time-consuming, error-prone, and difficult to scale due to the lack of a centralized and up-to-date repository of integration information, leading to delayed impact assessment, inefficient change management, increased risk of errors, and reduced agility.

Innovation Solution

Utilizing non-fungible tokens (NFTs) on a blockchain to represent and manage integration points, combined with an AI transformer to extract, parse, and transform integration point information from various sources, creating a centralized repository for accurate and timely management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual analysis of documentation is used to understand application relationships, then integration information can be captured, but the process becomes time-consuming and error-prone

Engineering Contradiction:

Improveintegration information accuracyVSAvoidtime for impact assessment

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical analysis of documentation with automated computational systems including AI transformers, natural language processing engines, and graph database queries. These systems automatically extract, parse, and analyze integration information from documentation, UML diagrams, and code repositories, eliminating manual effort while improving accuracy and speed of impact assessment

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements preliminary automated extraction and structuring of integration information into a centralized repository before changes occur. This pre-processing creates an up-to-date knowledge base that enables rapid impact analysis when changes are made, avoiding the need for time-consuming manual analysis at the point of change

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If documentation is updated separately from implementation, then flexibility is maintained, but discrepancies between documented and actual integration information increase

Engineering Contradiction:

Improvedocumentation flexibilityVSAvoidintegration information consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements automated feedback loops where the system continuously monitors code repositories, UML diagrams, and integration points, automatically updating the centralized integration information repository. This real-time synchronization ensures documentation remains consistent with actual implementation while maintaining the flexibility to adapt to changes

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-updating of integration documentation by automatically extracting information from code changes, scanning new integration points, and updating the centralized repository without human intervention. This self-service mechanism maintains reliability while allowing flexible adaptation to evolving system architecture

Inventive Principle:

Principle #25Self-service

3Loss of information

If comprehensive integration documentation is maintained, then complete information is available, but the complexity of managing and updating this information increases

Engineering Contradiction:

Improveintegration information completenessVSAvoidmanagement system complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts integration information from multiple complex sources (documentation, code, UML diagrams, repositories) and consolidates it into a single centralized graph database repository. This extraction and consolidation approach maintains complete integration information while simplifying management through a unified access point and standardized data structure

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The centralized integration information repository serves multiple functions simultaneously: storing integration documentation, enabling impact analysis, supporting change management, and providing a knowledge base for developers. This multi-functional approach maintains comprehensive information while reducing management complexity through a single universal system

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12504971B2Enterprise application integration leveraging non-fungible token

Publication Date: 2025.12.23 BANK OF AMERICA CORP

AI summary

Solutions for integration and ongoing management of enterprise applications operating in a networked environment are disclosed. An AI transformer extracts, transforms, and manages integration point information from various sources, including documents, UMLs, and other system diagrams. Instead of relying on traditional documentation, the invention utilizes blockchain-based NFTs (non-fungible tokens) to store and manage integration point information. NFTs are created using smart contracts, which define the rules and conditions for the NFT. A metadata engine prepares metadata for generating the Integration Point NFTs. An NFT manager creates the integration point NFTs. A change analyzer determines the impact of changes to integration points on different applications and functionalities. A release compliance component is integrated with DevOps and is responsible for ensuring that integration point changes are incorporated into all impacted applications according to the release defined in the NFT.