Aristek Systems
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Preview of case

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.

Data science & AI
Icon 1USA
Icon 2Manufacturing
Icon 3Since 2024

Key achievements

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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:

  • Traditional training is focused on academic-style testing rather than evaluating real-world skills, which are critical in manufacturing for technical compliance and operational efficiency.

  • Employees were disengaged with conventional learning methods, reducing participation and skill retention.

  • Fewer young professionals were entering apprenticeships, while many opted out of formal education, exacerbating workforce shortages.

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:

  • AI-powered learning assistance:

    • Answer employee queries on various professional topics (e.g., leadership, compliance, technical skills).

    • Provide instant explanations, summaries, and clarifications on corporate learning materials in a trial testing format.

    • Maintain conversation context for ongoing learning discussions.

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  • Automated administrative support:

    • Manage training schedules and notify employees of upcoming learning sessions.

    • Track learning history and suggest relevant topics for upskilling.

    • Assist HR/L&D teams by automating FAQs about training programs.

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  • Integration with corporate systems:

    • Connect with existing LMS (Learning Management Systems).

    • Sync with internal knowledge bases, wikis, and document repositories.

    • Support API-based integration with performance management tools.

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Project scope

For the project, the Aristek team applied its AI and corporate education expertise through these steps:

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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.

  • The system evaluates responses by comparing them to two key benchmarks:

    • Golden answer – A reference answer curated by subject matter experts.
    • AI-generated response – An answer dynamically generated from structured information clusters within the internal database.

    If no predefined answers exist for a test question, the system autonomously generates them using relevant content from the internal knowledge base. This eliminates the need for manual content updates, significantly reducing costs and optimizing processing time.

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.

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    For employees:

    • A concise report summarizing performance.
    • Insights into strengths and areas for improvement (optionally).
    • Suggested learning materials for further development.
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    For checkers & managers:

    • A detailed analytical dashboard with real-time performance insights.
    • Downloadable PDF reports for each employee.

Key metrics of the response provided include

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    Accuracy & correctness – 96% accuracy of provided answers.

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    Efficiency – decreased response time to 15 seconds and time taken per question.

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    Benchmarking – comparison against team averages and peer performance.

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    Support & accessibility – 24/7 availability for continuous learning.

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    Learning outcomes – 20% faster course completion and a 10% increase in correct final test answers.

How it works: practical cases

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    Automated skill assessment & adaptive testing

    Previously, test questions were manually created and analyzed. Now, AI dynamically adjusts question difficulty in real-time based on employee performance, ensuring a more precise and efficient evaluation.

  • 2

    Qualification for high-precision equipment

    Before assigning employees to operate complex machinery, the company evaluates problem-solving abilities using AI-powered assessments with scenario-based questions and open-ended troubleshooting tasks.

  • 3

    Personalized training & progression paths

    Based on assessment results, employees are either advanced to hands-on training or provided with targeted learning modules to strengthen knowledge gaps before proceeding.

  • 4

    Role-based induction programs

    AI customizes onboarding programs based on an employee’s role, ensuring they grasp essential company policies, operational guidelines, and safety protocols from day one.

  • 5

    Interactive safety simulations

    Employees practice AI-driven simulations for hazardous situations, improving safety and compliance. HR teams use these insights for data-driven probation decisions.

Screenshots

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Tools & Technologies

GitHub
Jira
LlamaIndex
OpenAI
Python
RAG
AWS

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.

  • The client cut training costs by leveraging internal talent, achieving up to 2x ROI while reducing external hiring by 40%. AI-driven insights streamlined decision-making, providing a clear workforce skills overview.

  • The L&D department boosted retention by 25%, enabling career planning with a role-based system for non-technical users. Workforce management became more efficient, cutting time spent on tests, surveys, FAQs, and content creation while reducing the need for IT support.

  • Employees now spend 30% less time on training and assessments while gaining confidence through personalized learning paths and adaptive evaluations. Immediate feedback and targeted learning resources ensured continuous professional development.

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