Generative AI and Human Resources: 5 Questions that can be Answered thanks to Smart Software

What is Generative AI in the Context of HR? 

Generative AI enables human resources managers to answer complex questions about working models, staffing requirements, turnover, and much more directly via a dialogue-based AI. This gives you quick and easy access to immediately actionable insights, allowing you to take appropriate measures to optimize processes.

The Importance of Generative AI in Human Resources

The role of HR managers has changed. They are no longer primarily responsible for administrative tasks, but now increasingly take on a strategic function. Whether planning for skilled workers, evaluating time accounts across different locations, or monitoring deviations, future-proof HR teams need data to be able to act agilely. Generative AI HR solutions offer the following advantages

• easy integration: People analytics software can often be seamlessly connected to existing HR systems.
• fast evaluation: Preconfigured dashboards and automated analyses provide answers in seconds.
• data-driven decisions: With the help of AI, HR managers analyze numerous real-time data and complex correlations for strategic measures.
• intuitive interaction: Instead of laboriously reviewing data, HR managers ask their questions in natural language and receive precise, data-based answers.

How Generative AI HR Solutions Work

From data to answers – that is the goal of AI-supported tools in the HR sector. HR managers no longer have to waste time on complex, multi-step evaluations. Instead, they can ask their questions in natural language.

The AI then accesses the data available in the HR system. Within seconds, it analyzes patterns and identifies important developments and correlations. HR managers and executives then receive a clearly formulated and context-related answer, which can be visualized or supplemented with recommendations for action if necessary.

Typical Questions for Generative AI in Everyday HR Work

The following examples show which typical questions can already be reliably answered with generative AI in the HR context today.

1. How are absences distributed across teams?
2. How high are the costs due to absences?
3. How many overtime hours were recorded?
4. What is the ratio of absences?
5. What is the ratio of overtime to regular working hours?

Where the use of appropriate tools still requires individual evaluations to be combined, companies can save valuable time with the help of AI. Human resources becomes a more responsive strategic partner, as data-based insights can be accessed at any time without technical knowledge.

Use Case: GFOS Intelligence in Action

Smart analytics within your workforce management platform: With GFOS Intelligence and the AI assistant Atlas, HR teams no longer have to search long and hard to find answers to typical HR questions. 

Users enter their question in the input field—for example, “How much overtime has been recorded?” Embedded in the SaaS platform, Atlas begins to analyze the available data and provides a precise, understandable answer. 

In addition, the AI assistant creates visually prepared trend analyses that make developments visible at a glance. These can be easily downloaded and reused for further reports, presentations, or internal benchmarks.

An Overview of the Advantages of AI in Workforce Management

The use of generative AI in human resources opens up completely new possibilities in terms of efficiency, transparency, and time savings. Data is no longer just collected, but used. AI works faster and puts the information into a clear, understandable context. The results are data-based decisions that create more room for maneuver and strategic added value for the entire company.

The most important advantages summarized:

• fast decision-making: Answers in seconds instead of hours of analysis and manual comparisons
• easy to use: Questions in natural language without the need for specialist knowledge
• better data quality: Smart interpretation of HR data in real time
• better overview: Identification of relevant information from the mass of personnel data
• time savings: More time for strategic and value-adding activities