AI Framework for Enterprise Data Analysis and Client Insights

ChangeBridge: Patent Apps - Health Informatics (G16H)

Published March 26th, 2026

Detected March 28th, 2026

Summary

The USPTO has published a patent application for an AI framework designed to analyze enterprise data, including employee-client communications, to provide insights and recommendations. The framework incorporates machine learning models and adheres to enterprise data sharing and access control requirements.

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What changed

This document details a patent application (US20260087248A1) for an Artificial Intelligence Enterprise Application Framework. The framework utilizes machine learning models to analyze enterprise data, specifically communications between employees and clients, to generate intelligence and insights. A key feature is its ability to automatically provide information to machine-learning models in compliance with enterprise data sharing and access control requirements, thereby preventing inappropriate access to sensitive information.

While this is a patent application and not a direct regulatory mandate, it signals technological advancements in AI for business intelligence and data security. Companies developing or utilizing similar AI frameworks for client data analysis should be aware of the patent landscape and ensure their systems comply with existing data privacy and security regulations. The application's filing date was May 5, 2025, with publication anticipated on March 26, 2026.

Source document (simplified)

← USPTO Patent Applications

ARTIFICIAL INTELLIGENCE ENTERPRISE APPLICATION FRAMEWORK

Application US20260087248A1 Kind: A1 Mar 26, 2026

Inventors

Dmitry Gutzeit, Rina Feifan Charles

Abstract

Described herein are exemplary devices, apparatuses, systems, methods, and non-transitory storage media for providing an application framework. The application framework can provide various machine-learning models to perform a variety of analysis tasks to analyze enterprise data such as communications between one or more employees of an organization and one or more clients of the organization and provide intelligence and insights for a user in the organization. The insights and intelligence can include a recommendation or an observation related to a client or customer of the organization. The recommendation or observation can be provided, for example, in a communication platform, a chatbot, or a variety of other interfaces. Advantageously, to perform an analysis task, the application framework automatically provides to the machine-learning model(s) information in accordance with the enterprise's data sharing and access control requirements to prevent inappropriate access and use of sensitive information.