AI Capability Intent Policies for Secure Productivity Tool Actions

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Solution Overview

Problem

Existing AI productivity tools lack control mechanisms for managing the capabilities of software applications on information handling systems, particularly in enterprise environments, leading to uncontrolled execution of user-requested actions that may impact system performance, security, and resource management.

Innovation Solution

Implementing capability intent action policies through an intent dependency determination software application and a policy control managing subagent to manage and enforce IT-defined policies on AI productivity tool-enablable software applications, using machine learning models to identify and enforce allowed and disallowed actions based on user queries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If AI productivity tools are enabled to execute user-requested actions on software applications, then user productivity is improved, but system security and control are worsened due to lack of policy management

Engineering Contradiction:

Improveuser productivityVSAvoidsystem security

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent introduces a policy management subsystem as an intermediary between the AI productivity tool and the software applications. This subsystem includes policy definition components, policy enforcement components, and capability intent action components that work together to mediate AI actions. The policy enforcement component intercepts capability intent actions from the AI tool, evaluates them against defined policies, and either permits or blocks execution, thus maintaining security while allowing productive operations.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the AI productivity tool's capabilities into discrete capability intent actions that can be individually managed and controlled. Each capability intent action represents a specific operation that the AI tool can perform on software applications. This segmentation allows granular policy control where specific actions can be permitted or denied independently, enabling fine-tuned security management without blocking entire application categories.

Inventive Principle:

Principle #1Segmentation

2Productivity

If AI productivity tools are given broad capabilities to perform actions, then task completion efficiency is improved, but resource management and system performance are worsened due to uncontrolled execution

Engineering Contradiction:

Improvetask completion efficiencyVSAvoidsystem resource management

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The policy enforcement component implements a feedback mechanism that continuously monitors AI capability intent actions against defined policies. When an action is received, the system evaluates it against current system state and policy rules, then provides feedback by permitting or blocking the action. This feedback loop ensures that resource-intensive operations are controlled based on system conditions, preventing resource exhaustion while maintaining efficient task completion within resource constraints.

Inventive Principle:

Principle #23Feedback

3Reliability

If policy control mechanisms are implemented to manage AI capabilities, then system security and resource management are improved, but device complexity is worsened

Engineering Contradiction:

Improvesystem securityVSAvoiddevice complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The policy management subsystem is designed as a universal framework that can manage multiple types of policies across different software applications and AI capabilities. The policy definition component provides a unified interface for creating policies that apply to various capability intent actions, and the enforcement component uses a common evaluation mechanism for all actions. This multi-functional design consolidates what could be numerous separate control mechanisms into a single coherent system, reducing overall complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260037733A1System and method for managing policies for capability intents of capabilities associated with artificial intelligence productivity tool responses executing on an information handling system

Publication Date: 2026.02.05 DELL PROD LP

AI summary

An information handling system includes a hardware processor with the hardware processor executing computer-readable program code instructions of an intent dependency determination software application to receive one or more capability intent action policies describing controls for execution of the capability intent action policies to be implemented at the information handling system and identify capability dependencies of affected capabilities of each of a plurality of AI productivity tool-enablable software applications or AI productivity tool modules executable at the information handling system. The hardware processor executing computer-readable program code instructions of a policy control managing subagent to transmit the capability intent action policies to the AI productivity tool-enablable software applications or AI productivity tool modules for application of the capability intent action policies to any capability intent actions executed in response to a received user-query input at the information handling system.