AI Organizational Redesign Planning for Phased Maturity Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Traditional organizational restructuring processes are complex, time-consuming, and prone to human error, often failing to create lean, scalable, and secure redesigns that meet customer needs while adhering to industry-specific regulations.

Innovation Solution

A computing system utilizing AI-driven methodologies to analyze current organizational models, integrating inputs from people, process, and technology landscapes, and generating phased redesign plans that are secure, lean, and scalable, while aligning with customer needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional comprehensive analysis methods are used for organizational restructuring, then expertise coverage and collaboration are improved, but time consumption and process complexity increase

Engineering Contradiction:

Improveexpertise coverageVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system segments the organizational restructuring process into distinct analysis dimensions (people, process, technology landscapes) and uses specialized AI models for each dimension. This allows comprehensive expertise coverage while automating each segment independently, reducing overall time consumption compared to traditional manual comprehensive analysis.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an AI-based intermediary system that acts as a mediator between different organizational functions and expertise domains. The AI models synthesize inputs from multiple sources and generate integrated redesign recommendations, eliminating the need for extensive human collaboration while maintaining comprehensive expertise coverage.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If traditional reorg methodologies are used, then human expertise is utilized, but human error risk and suboptimal design outcomes increase

Engineering Contradiction:

Improvehuman expertise utilizationVSAvoiddesign accuracy

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system replaces the mechanical human analysis and decision-making process with AI-based models that analyze organizational landscapes and generate redesign recommendations. This substitution eliminates human error while maintaining the utilization of expert knowledge through training data and structured analysis frameworks.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent incorporates feedback mechanisms where the AI system analyzes current organizational states, generates redesign recommendations, and evaluates outcomes to continuously improve design accuracy. This systematic feedback loop reduces errors compared to traditional one-time human expert assessments.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If comprehensive analysis of current state is performed, then understanding of organizational complexities is improved, but analysis complexity and potential inefficiency increase

Engineering Contradiction:

Improveorganizational understandingVSAvoidanalysis complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the comprehensive organizational analysis into three distinct segments: people landscape, process landscape, and technology landscape. Each segment is analyzed by specialized AI models, improving measurement precision while reducing overall analysis complexity compared to a monolithic human-led analysis process.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If traditional reorg planning is used, then human collaboration is enhanced, but process efficiency and responsiveness to change decrease

Engineering Contradiction:

Improvecollaboration flexibilityVSAvoidprocess efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent replaces traditional human collaboration processes with AI-based systems that automatically coordinate analysis across different organizational dimensions. This substitution maintains collaboration flexibility through configurable model interactions while dramatically improving process efficiency and responsiveness to organizational changes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260080346A1System, Method and Computer-Readable Medium for Organizational Redesign Through Analysis and Phased Implementation Based on User Input and Current Models

Publication Date: 2026.03.19 TEACHERS INSURANCE & ANNUITY ASSOC OF AMERICA

AI summary

A computing system includes a processor and memory with instructions to receive user input on redesign objectives, analyze organizational models, generate recommendations for organizational maturity, and output a redesign plan. A method involves receiving user input on redesign objectives, analyzing organizational models, generating recommendations for organizational maturity, and outputting a redesign plan. A computer-readable medium has instructions for receiving user input on redesign objectives, analyzing organizational models, generating recommendations, and outputting a redesign plan.