AI tool for talent development and upskilling
The customer is a US-based company that manufactures microelectronic products using manual, automatic, and semi-automatic equipment across multiple facilities worldwide.
USA
Manufacturing
Since 2024
Key achievements
| 67% | decrease in instructors’ workload |
| 2x | ROI on training investments |
| 25% | reduction in employee turnover |
Challenge
The client, a large US-based manufacturer, faced multiple challenges in the direction of corporate learning.
According to the L&D department’s internal research, they included the following:
The declining effectiveness of corporate training directly impacted productivity, compliance, and operational efficiency. Without an effective way to assess and upskill employees, the company risked increased safety incidents, regulatory penalties, and production inefficiencies.
The client needed a cost-effective solution to engage and retain employees, accurately assess skills, and ensure continuous workforce development.
Solution
Aristek’s team proposed an AI-based tool as a solution that would solve multiple problems in multiple areas of corporate training at once:
Project scope
For the project, the Aristek team applied its AI and corporate education expertise through these steps:
Comprehensive data collection
The Aristek team gathered training materials from various departments, ensuring full corporate knowledge coverage for accurate AI-driven assessments.
Data cleaning & standardization
Inconsistencies were removed, duplicates eliminated, and formats standardized for seamless integration into AI-driven processing pipelines.
AWS-powered processing
AWS Glue handled ETL tasks, while AWS Lambda managed transformations, enabling a scalable, serverless approach for structured data.
Semantic search database
AWS OpenSearch stored segmented materials with metadata, allowing precise filtering by topic, complexity, and relevance for easy retrieval.
AI-driven question generation
The system uses OpenAI’s GPT-4o with structured prompts to create contextually relevant questions based on type, difficulty, and topic.
Dynamic test adaptation
AI adjusts test difficulty in real time, ensuring fair evaluations while preventing employees from relying on pre-prepared answers.
Concept-linked assessments
The RAG approach and OpenSearch enable tests to include related topics, evaluating employees’ ability to connect concepts effectively.
Role-based analytics
Role-based analytics provides tailored insights based on user roles, ensuring both employees and managers can track progress effectively. While employees receive personalized feedback to enhance their learning, checkers and managers gain access to detailed reports for informed decision-making.
How it works: practical cases
Tools & Technologies
Project results
The Aristek team leveraged AI to transform corporate learning by developing a personalized, adaptive training and assessment system. The solution processes corporate materials, industry reports, and policies to align content with required competencies while assessing employees’ skills to create tailored learning paths.
Since different people process and remember information uniquely, an AI solution helps personalize the learning experience regardless of the employee’s background. This includes educational level, industry experience, job role, technical proficiency, and even language skills.
The system ensures full test coverage with automated answers, contextual matching, and adaptive learning. Real-time difficulty adjustments optimize assessments, enabling precise evaluation and data-driven decisions for development and promotions.