Adaptive, Human-Centric AI System for Workflow Optimization and Resilience Management in Dynamic Organizational Environments

Abstract

The present invention relates to an Adaptive, Human-Centric AI System for Workflow Optimization and Resilience Management in Dynamic Organizational Environments. The invention relates to an adaptive AI system for task allocation in dynamic organizational environments. The system integrates modules for real-time task profiling, employee contextual analysis, and resilience management to optimize productivity and employee well-being. By using AI-driven analytics and wellness tracking, the system continuously reallocates tasks to ensure efficient workflows and mitigate burnout. Accompanied Drawing [FIG. 1]

Specification

Description:[001] The present invention relates to systems and methods for enhancing workflow management through AI-driven task allocation. This invention pertains particularly to systems that improve productivity and employee well-being by dynamically allocating tasks within an organization based on real-time data. It leverages artificial intelligence to integrate task requirements, employee profiles, wellness indicators, and environmental factors, creating a resilient and adaptive work environment.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] As organizations expand and adopt more complex operational structures, traditional task allocation approaches prove inadequate. Current systems allocate tasks using fixed prior , Claims:1. A system for adaptive task allocation in an organizational environment, comprising an Adaptive Task Profiling Module that classifies tasks dynamically and an Employee Contextual Analysis Engine that profiles employees based on performance, wellness, and real-time availability.
2. The system of Claim 1, wherein the Adaptive Task Profiling Module integrates external data for dynamic task reclassification, enhancing responsiveness to changes in organizational or market conditions.
3. The system of Claim 1, wherein the Employee Contextual Analysis Engine incorporates wellness tracking, providing resilience metrics to optimize task allocation and mitigate employee burnout.
4. A method for adaptive task allocation, involving the steps of analyzing tasks to classify them, profiling employees based on resilience and performance, and reallocating tasks in real time based on organizational changes and feedback loops.
5. The system of Claim 1, further comprising a Proactive Resilience Management module configured to

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