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AI Maturity Model

Self-Assessment for Human Resources

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Information on the self-assessment

Aim

This self-assessment helps small and medium-sized companies to assess the level of maturity in dealing with AI technologies in your company's HR management and to develop perspectives for the use of AI in HR management.

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Benefits

Determine the ACTUAL maturity level of your HR management in central AI dimensions.
Identify specific needs for improvement in order to reach the next level of maturity (gap analysis).

Limits

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A self-assessment only provides a subjective evaluation of your current situation.
The areas of action identified are therefore suggestions for optimization which require a detailed analysis.

Implementation

1. Access check

You can start the check by clicking the 'Start check' button on this page! The check will take about 10-15 minutes of your time and is completely anonymized. No data from the test will be saved.

2. Answer questions

Read through the answer options for each question and select the answer option that best describes the status quo in your company. Once you have given your answers, press the 'Next' button to move on to the next question. You can go back to the previous question at any time by pressing the 'Back' button.

3. Show evaluation

At the end of the self-assessment, press the 'Analyze' button. You can no longer make any changes after this. You will be redirected to the results page with the evaluation. The results are presented in the form of a maturity level and with the help of a radar chart.

4. Evaluate options for action

In addition to the maturity level and radar chart, the results page shows you values from comparable companies. Various options for increasing your maturity level are also shown.

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The model

Structure

The model consists of 11 dimensions and provides an overview of AI-relevant factors that influence HR management. It is based on theoretical findings and expert interviews and was developed by the Denkfabrik Digitalisierte Arbeitswelt as part of the BMBF (German Federal Ministry of Education and Research)-funded project Kompetenzzentrum Arbeitswelt.Plus.

The image shows the maturity model.

Details of the dimensions

  • account_balance

    People und culture

    The People and culture segment focuses on the involvement of employees in the company in the implementation of AI in HR management and the accompanying change management.

  • save

    Data management

    Data collection and utilisation in the context of AI applications as well as other framework conditions and regulations for data management in HR management are addressed in this section.

  • device_hub

    Infrastructure

    The infrastructure dimension, on the other hand, is dedicated to the technological infrastructure for the use of AI applications in personnel management.

  • open_with

    Corporate strategy

    The dimension AI in corporate strategy describes the attitude of the company management towards the topic of AI and the role of AI in the current corporate strategy.

  • supervisor_account

    Ethics

    The segment Ethics describes the conception and integration of AI guidelines in HR management.

  • person_add

    HR recruitment

    Recruitment is one of the core tasks of HR management.

  • directions_run

    HR deployment

    Personnel deployment and planning is one of the core tasks of personnel management

  • build

    HR development

    Personnel development is one of the core tasks of HR management.

  • streetview

    HR strategy

    The dimension AI in HR management strategy describes the importance of AI and the competence status of employees in HR management.

  • school

    Competence development

    The area of skills development examines the change in employees' skills profiles through the use of AI and the development of AI-related skills.

  • art_track

    Organization

    The organisational dimension describes the procedural anchoring and personnel positioning of AI projects in HR management.

Maturity levels

The picture represents a symbol for the first maturity level.
Curious beginning
You have not yet undertaken any activities regarding the integration of AI in HR management. Nevertheless, you have identified the topic as relevant for your company.
The picture represents a symbol for the second maturity level.
Learning through experimentation
You are experimenting with AI-supported systems in individual areas of the company or for individual employee groups.
The picture represents a symbol for the third maturity level.
Project-related realisation
You have already gathered project or task-related experience with the implementation of AI-supported systems.
The picture represents a symbol for the fourth maturity level.
Holistic integration
Working with AI systems is firmly anchored in your company on a broader front and in numerous fields.
Start check You can now find out which maturity level is most likely to apply to your company.

Follow-up activities

The following activities can be done with this AI check:

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Performing the HR AI check

Click on 'Start check', answer the questions and display the result.

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The image shows a radar chart as an example of the results of the check.

Company-internal analysis of the possible courses of action

Evaluate the fields of action with regard to your HR management and identify opportunities for optimization.

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Select support for optimization

Analyze the consulting services offered by us and Arbeitswelt.Plus to plan your AI-related development processes.

Credentials

Find more information here

Picture of the paper presented at ICAIR

Paper

Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM)

In Proceedings of International Conference on AI Research (ICAIR) 2024

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Presentation

Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM)

Presented at International Conference on AI Research (ICAIR) 2024

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Picture of Controlling and Management Review

Article

Den KI-Reifegrad des Personalmanagements bestimmen

In Controlling & Management Review

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Impulse

Selbstcheck: KI im Personalmanagement

Impulse for practice Offensive Mittelstand

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Picture of Arbeitswelt.Plus

Web article

KI-Check-HR: Den Reifegrad von KI im Personalmanagement identifizieren

Article about the tool on the initiative's website

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