AI Virtual Agents and Digital Twins for Workflow Automation

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Solution Overview

Problem

Organizations face challenges such as workforce shortages, insufficient skill levels, employee disinterest in routine tasks, inertia towards learning new skills, and inadequate collaboration across cross-functional teams, leading to inefficiencies in operational workflows and employee engagement.

Innovation Solution

Implement AI-based systems that generate virtual agents, employee digital twins, and workplace digital twins, leveraging organizational and employee-specific data to automate workflows, enhance communication, and optimize operational processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If AI-based virtual agents and digital twins are implemented, then employee engagement and operational efficiency are enhanced, but system complexity and implementation cost increase

Engineering Contradiction:
Improveoperational efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent creates digital twins (virtual copies) of employees and workplace environments that replicate real-world entities. These digital replicas enable automated workflow analysis, performance simulation, and predictive insights without requiring physical intervention, thereby enhancing productivity while managing complexity through virtual modeling.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

AI-based virtual agents serve as intermediaries between human employees and organizational systems. These agents handle routine tasks, provide information, and facilitate communication, reducing the complexity burden on human users while maintaining high operational efficiency through intelligent automation.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If AI-based systems automate routine tasks, then employee disinterest in monotonous tasks is reduced, but job security concerns and resistance to change increase

Engineering Contradiction:
Improveemployee engagementVSAvoidemployee trust
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system empowers employees with self-service capabilities through their digital twins, which provide personalized insights, performance feedback, and automated task management. Employees can access their own data, monitor their progress, and make informed decisions, enhancing engagement while maintaining trust through transparency and control.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The AI system implements continuous feedback loops where digital twins provide real-time performance data, predictive analytics, and personalized recommendations to employees. This feedback mechanism enhances engagement by making employees aware of their performance and providing actionable insights, while building trust through consistent, data-driven communication.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If cross-functional collaboration is enhanced through AI, then organizational growth is accelerated, but data privacy and security risks increase

Engineering Contradiction:
Improvecollaboration capabilityVSAvoiddata security risks
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent segments organizational data into different levels of access and sharing. Digital twins and virtual agents handle specific functional areas with appropriate data permissions, enabling cross-functional collaboration while maintaining data security through granular access controls and privacy-preserving architectures.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20260037894A1Artificial intelligence (AI) based systems and methods for enhancing employee engagement and optimizing operational workflows
Publication Date: 2026.02.05 KEMNER KATARINA CORTNEY
  • US20260037894A1 patent drawing
  • US20260037894A1 patent drawing
  • US20260037894A1 patent drawing

AI summary

Embodiments of the present disclosure provide a computer-implemented method. The computer-implemented method performed by a controller includes generating a plurality of virtual agents with Artificial Intelligence (AI) capabilities based at least on organizational data. Furthermore, the computer-implemented method includes delegating at least a portion of operational workflows to one or more of the plurality of virtual agents. The computer-implemented method further includes generating a plurality of employee digital twins associated with a plurality of respective employees, based at least on employee-specific data. Furthermore, the computer-implemented method includes generating at least one workplace digital twin representing at least one respective workplace environment. The computer-implemented method also includes enabling communication amongst a plurality of disparate groupings generated by selecting a plurality of entities from one or more of a plurality of employee devices, the plurality of virtual agents, the plurality of employee digital twins, or the at least one workplace digital twin.