Invented by Dahiya; Nisha

Enterprise applications are often like the veins and arteries of a business. They carry data, connect systems, and keep operations flowing. But when these connections change or break, it can feel like a heart attack for the whole company. This new patent application introduces a method that uses NFTs (non-fungible tokens) and AI to fix these problems once and for all. In this article, we’ll break down how this works, why it matters, and what makes it so different from anything before.

Background and Market Context

Big companies use many different software applications to handle everything from money transfers to printing receipts. All these programs must talk to each other, sharing information across different systems. In banks, for example, one app might handle account balances, another handles payments, and a third checks user identity. Each of these apps needs to connect with others to finish even the simplest tasks.

To make this work, firms use several ways to connect applications. They might send files, use special APIs, or even read and write to the same database. Every connection point, called an “integration point,” must be carefully set up and tracked. Traditionally, companies use documents, diagrams, and flow charts to keep track of how these integrations work. But as time goes on, these documents fall out of date. When one app changes, the documents don’t always get updated right away. This leads to confusion, errors, and sometimes costly outages.

When a change happens—like a new feature or a fix for a bug—teams scramble to figure out what other apps will be affected. This detective work wastes time and opens the door to mistakes. If teams miss something, data may not flow correctly, or worse, security holes might open up. The inability to keep up with these changes slows down the entire business and makes it hard to react to customer needs or market shifts.

The trend toward digital transformation and cloud systems makes this even more complicated. Companies want to move faster, but their tools for managing integrations are stuck in the past. There’s a huge need for a system that keeps track of all integration points in real time, flags problems before they happen, and makes sure everything is up to date—without relying on endless paperwork and manual checks.

This is where the patent’s approach comes in. It proposes a new way to manage all those connections using NFTs and AI. By putting integration details on a blockchain, the system creates a single, up-to-date source of truth that everyone can trust. When changes happen, the system can instantly show which other apps are affected, enforce rules, and even block bad updates from going live. This creates a safer, faster, and more reliable way to manage enterprise software.

Scientific Rationale and Prior Art

Managing software integrations is not a new problem. For years, companies have used diagrams, spreadsheets, and software tools to track how their apps connect. Unified Modeling Language (UML) diagrams, for example, are common for mapping out the flow of data between systems. Teams write documents describing every API, every data flow, and every business rule. But these tools are only as good as the people who update them.

Over time, these documents become outdated. As new software versions roll out or as different teams make changes, the details of how systems connect drift out of sync with the documentation. This means that the next time someone wants to change something, they can’t trust what’s written down. They have to dig through code, ask other teams, and sometimes guess, which leads to mistakes.

Some companies have tried to automate this work. There are tools that scan code or APIs to find out how systems are connected. Other tools try to keep track of changes using tickets in systems like JIRA or notes in shared spaces like Confluence. But these approaches don’t solve the core problem: there is no “single source of truth” that everyone trusts. What’s more, these systems are often siloed, and changes in one place might not show up in another.

Version control systems like Git help with code, but they don’t track how apps depend on each other or what data they exchange. DevOps pipelines can enforce some rules, but they stop short of making sure every integration is correct and up to date.

Blockchain offers some promise because it creates an unchangeable record of transactions. NFTs, a special kind of blockchain asset, are unique digital tokens that prove ownership or state. In the art world, NFTs prove who owns a digital painting. In this patent, the same idea is used to prove and track software integration points. Each integration—like an API between two apps—gets its own NFT, which holds all the details about how it works. Once set, the NFT’s record can’t be faked or lost.

AI comes into play to gather and process the scattered information. The patent describes an AI transformer that reads UML diagrams, documents, and other sources to pick out all the important details about how apps connect. This AI sorts the information, creates structured data, and prepares it for NFT creation.

There have been earlier attempts to use blockchain for tracking software changes, but none have focused on using NFTs to manage the exact details of enterprise app integrations. The patent’s approach is new because it mixes AI, NFTs, and enterprise software management in a way that solves real business pain points.

Invention Description and Key Innovations

This invention creates a smarter way to manage the connections between enterprise applications. Here’s how it works.

First, an AI transformer digs into all the places where integration details live. It reads documents, UML diagrams, and any notes about how one app talks to another. The AI pulls out key facts: Which apps are involved? What data do they exchange? How do they send it—API, file, database? What version is each app? When was the last change? The AI then organizes all this information into a clear, structured format, ready for the next step.

Next, a metadata engine takes this structured data and builds a picture of all the connections—an “application interaction graph.” This map shows every app, every integration point, and all the data flowing between them. The engine also creates metadata describing each integration: who produces the data, who consumes it, what type of data it is, what business function it supports, and so on.

Now comes the NFT manager. For each integration point, it creates a non-fungible token—basically a digital certificate stored on the blockchain. Each NFT is unique to a specific version of an app’s integration point. The NFT stores all the critical details: producer and consumer app names, data types, what’s being exchanged, impact on business functions, version info, release dates, and timestamps. This NFT acts as a “smart integration contract,” laying out the rules and details that both sides must follow.

All these NFTs are stored in blockchain storage. This means the record is unchangeable, visible to everyone who needs it, and always up to date. If someone tries to change an integration point, the system checks the blockchain to see what’s allowed.

When a change is made to any application, a change analyzer kicks in. It compares the new change to the NFTs and runs an “impact analysis.” This shows which other apps and integrations will be affected. The NFT manager then updates the NFTs as needed, and the changes go through a blockchain consensus process. Only if the network agrees that the update is valid does the new NFT version get stored.

Before any changed app can go live, a release compliance manager checks to make sure it matches what’s in the NFT. If the new code doesn’t fit the rules, the system blocks the deployment. This prevents new bugs or broken connections from slipping into production.

The patent also describes how each app can have primary and secondary NFTs. The primary NFT tracks the main version, while secondary NFTs record changes over time. This helps keep a clear record of every change and makes it easy to roll back or audit old versions.

The real power of this system is its automation. No more manual document updates. No more lost diagrams. No more guessing. The AI pulls the data, the NFTs record it, and the blockchain keeps it safe. Impact analysis becomes fast and accurate, and the business can react to changes much more quickly. DevOps teams can build this into their pipelines, so every release is checked and verified before it goes live.

The patent even allows for different relationships—one app can produce data for many consumers, or a single function can involve multiple apps. The NFTs capture all these details, giving a complete picture of the enterprise’s software landscape.

If a bank, for example, wants to add a new payment feature, the system would instantly show which apps and integrations are affected. Teams could see what needs to be updated, what rules to follow, and what the timeline is. If someone tries to deploy a change that doesn’t fit, the system stops them until everything is right.

This approach brings several big benefits:

– It gives a single, up-to-date source of truth for all app integrations.
– It automates impact analysis, saving time and reducing errors.
– It enforces compliance, so only safe, approved changes go live.
– It provides full audit trails for every integration change.
– It increases agility, letting businesses respond to market changes faster.

In short, this patent describes a system that combines AI, NFTs, and blockchain to make enterprise software integration safer, faster, and more reliable than ever.

Conclusion

Managing how business apps connect to each other has always been a mess of documents, diagrams, and manual checks. This new patent changes the game by using AI to gather integration details and NFTs to lock them in place on the blockchain. The result is a system that is always up to date, always accurate, and always secure. Changes are tracked, impacts are flagged, and only compliant updates can go live. This approach will help companies move faster, stay safer, and cut out the busywork that slows them down. If you want to build or manage enterprise software at scale, this is the future—and it’s here now.

Click here https://ppubs.uspto.gov/pubwebapp/ and search 20250217752.