Dynamic AI Workflow Tables for Runtime Updates Without OS Changes

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current AI workflow systems are limited to static workflows that require OS updates for changes, leading to challenges in managing and using AI workflows, lacking flexibility and efficiency.

Innovation Solution

A dynamic workflow system that allows AI workflows to be added, removed, or modified without OS updates, enabling instant updates and flexible access through a separate API, facilitating testing and evaluation of AI workflows.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static AI workflows are used, then system stability is maintained, but flexibility and adaptability are reduced

Engineering Contradiction:
Improveworkflow adaptabilityVSAvoidworkflow table stability
Core Design Contradiction:
Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent implements a dynamic workflow table that allows AI workflows to be added, removed, or modified at runtime without requiring OS updates. The workflow table transitions from a static structure to a dynamic one, enabling real-time changes while maintaining system stability through controlled updates and versioning mechanisms.

Inventive Principle:
Principle #15Dynamics

2Productivity

If OS updates are used to change workflows, then workflow updates are achieved, but system complexity and update overhead increase

Engineering Contradiction:
Improveworkflow update speedVSAvoidupdate management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the workflow table into a dynamic structure that can be independently updated without affecting the entire OS. This allows selective updates of individual workflows or the workflow table itself, reducing update overhead and complexity compared to full OS updates.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system enables preliminary testing and evaluation of AI workflows before integrating them into the active workflow table. This allows validation of new workflows in advance, reducing the risk of failures during production and simplifying the update process.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If multiple AI workflows are tested simultaneously, then workflow evaluation accuracy is improved, but system resource consumption increases

Engineering Contradiction:
Improveworkflow evaluation accuracyVSAvoidcomputational resource consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements a testing framework that allows evaluation of multiple AI workflows using a subset of available computational resources. The system can selectively execute workflows based on priority, importance, or configuration, enabling accurate evaluation without requiring all resources to be consumed simultaneously.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250291603A1Dynamic artificial intelligence (AI) workflow execution
Publication Date: 2025.09.18 MICROSOFT TECHNOLOGY LICENSING LLC
  • US20250291603A1 patent drawing
  • US20250291603A1 patent drawing
  • US20250291603A1 patent drawing

AI summary

This disclosure describes a dynamic workflow system that provides a framework for operating dynamic AI workflow tables on client devices. For example, the dynamic workflow system facilitates the addition, removal, or modification of AI workflows from a dynamic AI workflow table without requiring an operating system (OS) update. Providing dynamic AI workflows also enables the dynamic workflow system to provide additional benefits, such as instant AI workflow updates, the use of multiple AI table versions, AI workflow testing and evaluation, and the removal of defective or inefficient AI workflows without affecting other workflows. These benefits were not feasible with existing systems. The dynamic workflow system also provides a separate API that allows for customized access to AI workflows in AI workflow tables.