AI Workflow Assessment Framework for Recruiting Optimization
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Solution Overview
Problem
Current workflow management solutions in recruiting and human resources lack a holistic business perspective, leading to inefficient job-skill-matching and resource allocation, with existing technologies failing to adapt to shifting strategic leadership and skill set changes.
Innovation Solution
A computer-implemented method using artificial intelligence to assess user workflows, identify areas of improvement, and generate technology fitments for optimization, incorporating human-centered design and machine learning to provide adaptable and optimized workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional workflow management solutions focus on job-skill-matching, then hiring efficiency is improved, but holistic business perspective and adaptability to strategic changes deteriorate
Solution Approach 1:
The patent segments the workflow analysis into distinct steps or tasks, allowing the system to evaluate and optimize specific portions of the workflow independently. This segmentation enables the system to maintain focus on job-skill-matching efficiency while simultaneously incorporating broader business perspective elements into different segments of the workflow analysis.
Solution Approach 2:
The patent creates a multi-functional system that performs both traditional job-skill-matching analysis and broader business perspective evaluation within a single workflow management platform. The system is designed to handle multiple objectives simultaneously, including hiring efficiency, resource allocation, and adaptability to strategic changes, making it universally applicable to various workflow optimization needs.
2Adaptability or versatility
If workflow analysis is comprehensive and holistic, then business perspective is improved, but system complexity and data processing requirements worsen
Solution Approach 1:
The patent divides the comprehensive workflow analysis into discrete steps or tasks, where each step can be analyzed independently. This segmentation reduces the immediate complexity of processing the entire workflow at once while still achieving holistic business perspective through the aggregation of individual step analyses.
Solution Approach 2:
The patent performs preliminary analysis of workflow steps before conducting the full holistic evaluation. By pre-processing and organizing data at the step level first, the system reduces the complexity burden during the comprehensive analysis phase, making the overall process more manageable.
3Measurement precision
If AI assessment is applied to all workflow steps, then optimization accuracy is improved, but processing time and computational resources worsen
Solution Approach 1:
The patent applies AI assessment selectively to specific workflow steps rather than uniformly to all steps. By identifying and prioritizing critical steps that have the greatest impact on workflow optimization, the system achieves high optimization accuracy in key areas while reducing overall processing time and computational resource requirements.
Solution Approach 2:
The patent implements partial AI assessment, focusing computational resources on the most impactful workflow steps rather than applying AI uniformly across all steps. This partial action approach maintains optimization accuracy for critical functions while significantly reducing processing time and resource consumption.
Data Source
AI summary
Artificial intelligence is employed to assess a user's workflow on a task by receiving data regarding a workflow of a user completing a task, and assessing the data to identify attributes of the workflow that is expressed in a series of elements. The elements of the workflow are analyzed to identify areas of improvement. Augmentations may be generated from a plurality of technology fitments matched to the areas for improvement in the elements of the workflow. The augmentations are sent to a user device for communicating to the user. The method may further include receiving confirmation of fitment to business practices of persona; and adjusting augmentation responsive to confirmation of fitment.