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Case Study:
Gen AI for Human Resources

Objectives

Alpha Matica was mandated by a global conglomerate to explore the potential of Generative AI in streamlining HR operations. The primary goal was to automate routine tasks while ensuring the "human-in-the-loop" principle remained central, thereby enhancing efficiency without compromising on the crucial element of human judgement and decision-making.

 

This collaborative initiative with the data privacy officer aligns with the General Data Protection Regulation (GDPR) and the upcoming EU AI Act, demonstrating a commitment to data privacy.

 Ways of Operating​

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Alpha Matica, leveraging its deep expertise in data analytics and AI, partnered with HR managers and integrated with existing HR systems to identify and automate a range of HR activities. The project was conducted with the following focus areas:

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  1. Data Collection and Analysis: Alpha Matica collected and analyzed vast amounts of HR data (policies, surveys etc…) 

  2. AI Model Development: Generative AI models were developed on the collected data to automate specific HR tasks. To enhance the context for answer generation, a tailored RAG (Retrieval-Augmented Generation) approach was devised.

  3. Human-in-the-Loop Integration: The AI models were designed to work in conjunction with HR professionals, providing them with insights and recommendations while leaving the final decision-making to human experts.

  4. Use Case Implementation: The following use cases were automated with a focus on human oversight:
    Onboarding:
    Automated generation of onboarding documents and checklists.
    AI-powered virtual assistants to guide new hires through the onboarding process.
    Performance Management
    Automated performance review scheduling and reminders.
    Insights on macro employee's performance trends.
    Learning and Development
    AI-powered recommendations for learning paths.
    Automated content creation for training modules.
    Employee Engagement
    AI-powered sentiment analysis of employee's feedback.
    Automated generation of employee surveys and pulse checks.
    Drafting of communication.

 Outcome and Benefit​​

The implementation of Generative AI in HR resulted in significant improvements across various metrics:
 

Time Savings: A 30% reduction in time spent on manual HR tasks.
Efficiency Gains: A 25% increase in overall HR efficiency.
Improved onboarding Experience: A 20% increase in candidate satisfaction scores.
Enhanced Employee Engagement: A 15% increase in employee engagement scores.

 

The "human-in-the-loop" approach ensured that while AI automated routine tasks, HR professionals were empowered to focus on strategic initiatives and building meaningful relationships with employees.

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Conclusion
Alpha Matica's successful implementation of Generative AI for HR demonstrates the transformative potential of AI in streamlining HR operations. The project underscored the importance of the "human-in-the-loop" principle in ensuring that AI augments human capabilities rather than replacing them. Alpha Matica's expertise in data analytics and AI, combined with its commitment to human-centered design, positions it as a leader in driving innovation in the HR space.

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