Pilot Application 4: AI-Based Assessment of Auto Damage<\/h2><\/div>Development of an AI component for reviewing and preparing expert reports, and evaluation of employee acceptance<\/h4><\/div><\/div><\/div><\/div><\/div>Starting Point<\/h3><\/div><\/div><\/div>Within the pilot project, Control\u20acxpert will incorporate and methodically examine AI components that have been created within the organization to review and produce expert opinions. In this context, the impact in terms of acceptance, productivity, economic efficiency, feasibility and transferability will be investigated together with the scientific partners. The INI and IAW allow for a scientific study and assessment of the social and technical aspects of AI integration, consequently facilitating methodological transfer. The insights gained into the methods of AI integration will ultimately be incorporated into a generalised guideline for the methodical introduction of AI into business processes. In addition, the results should be transferred to the Auto-ML framework created by the INI. The partners have created various agile AI integration methods. These will be checked for suitability in society, feasibility, and cost-effectiveness through testing and assessment. Control\u20acxpert aims to increase the acceptance of artificial intelligence by both workers and consumers, thus facilitating a smoother and more effective integration.<\/p>\n<\/div><\/div><\/div>
![](\"https:\/\/humaine.info\/wp-content\/uploads\/2026\/07\/Pilot-4.jpg\" "\\"Pilot")
<\/span><\/div><\/div><\/div>Approach<\/h3><\/div><\/div><\/div><\/i>Automated ML processing chain influenced by users or domain experts at critical points (INI)<\/p>\n<\/div><\/div><\/div>
<\/i>Procedure model for interaction at human-AI-human interfaces in workflow (IAW)<\/p>\n<\/div><\/div><\/div>
<\/i>Standard model for promoting social acceptance of AI in the work process (IAW)<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Partners<\/h1><\/div><\/div><\/div>Practice Partners<\/h3><\/div><\/div><\/div>Research Partners<\/h3><\/div><\/div><\/div>
Development of an AI component for reviewing and preparing expert reports, and evaluation of employee acceptance<\/h4><\/div><\/div><\/div><\/div><\/div>Starting Point<\/h3><\/div><\/div><\/div>Within the pilot project, Control\u20acxpert will incorporate and methodically examine AI components that have been created within the organization to review and produce expert opinions. In this context, the impact in terms of acceptance, productivity, economic efficiency, feasibility and transferability will be investigated together with the scientific partners. The INI and IAW allow for a scientific study and assessment of the social and technical aspects of AI integration, consequently facilitating methodological transfer. The insights gained into the methods of AI integration will ultimately be incorporated into a generalised guideline for the methodical introduction of AI into business processes. In addition, the results should be transferred to the Auto-ML framework created by the INI. The partners have created various agile AI integration methods. These will be checked for suitability in society, feasibility, and cost-effectiveness through testing and assessment. Control\u20acxpert aims to increase the acceptance of artificial intelligence by both workers and consumers, thus facilitating a smoother and more effective integration.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Approach<\/h3><\/div><\/div><\/div><\/i>Automated ML processing chain influenced by users or domain experts at critical points (INI)<\/p>\n<\/div><\/div><\/div>
<\/i>Procedure model for interaction at human-AI-human interfaces in workflow (IAW)<\/p>\n<\/div><\/div><\/div>
<\/i>Standard model for promoting social acceptance of AI in the work process (IAW)<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Partners<\/h1><\/div><\/div><\/div>Practice Partners<\/h3><\/div><\/div><\/div>Research Partners<\/h3><\/div><\/div><\/div>
Starting Point<\/h3><\/div><\/div><\/div>Within the pilot project, Control\u20acxpert will incorporate and methodically examine AI components that have been created within the organization to review and produce expert opinions. In this context, the impact in terms of acceptance, productivity, economic efficiency, feasibility and transferability will be investigated together with the scientific partners. The INI and IAW allow for a scientific study and assessment of the social and technical aspects of AI integration, consequently facilitating methodological transfer. The insights gained into the methods of AI integration will ultimately be incorporated into a generalised guideline for the methodical introduction of AI into business processes. In addition, the results should be transferred to the Auto-ML framework created by the INI. The partners have created various agile AI integration methods. These will be checked for suitability in society, feasibility, and cost-effectiveness through testing and assessment. Control\u20acxpert aims to increase the acceptance of artificial intelligence by both workers and consumers, thus facilitating a smoother and more effective integration.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Approach<\/h3><\/div><\/div><\/div><\/i>Automated ML processing chain influenced by users or domain experts at critical points (INI)<\/p>\n<\/div><\/div><\/div>
<\/i>Procedure model for interaction at human-AI-human interfaces in workflow (IAW)<\/p>\n<\/div><\/div><\/div>
<\/i>Standard model for promoting social acceptance of AI in the work process (IAW)<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Partners<\/h1><\/div><\/div><\/div>Practice Partners<\/h3><\/div><\/div><\/div>Research Partners<\/h3><\/div><\/div><\/div>
Within the pilot project, Control\u20acxpert will incorporate and methodically examine AI components that have been created within the organization to review and produce expert opinions. In this context, the impact in terms of acceptance, productivity, economic efficiency, feasibility and transferability will be investigated together with the scientific partners. The INI and IAW allow for a scientific study and assessment of the social and technical aspects of AI integration, consequently facilitating methodological transfer. The insights gained into the methods of AI integration will ultimately be incorporated into a generalised guideline for the methodical introduction of AI into business processes. In addition, the results should be transferred to the Auto-ML framework created by the INI. The partners have created various agile AI integration methods. These will be checked for suitability in society, feasibility, and cost-effectiveness through testing and assessment. Control\u20acxpert aims to increase the acceptance of artificial intelligence by both workers and consumers, thus facilitating a smoother and more effective integration.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>Approach<\/h3><\/div><\/div><\/div><\/i>Automated ML processing chain influenced by users or domain experts at critical points (INI)<\/p>\n<\/div><\/div><\/div>
<\/i>Procedure model for interaction at human-AI-human interfaces in workflow (IAW)<\/p>\n<\/div><\/div><\/div>
<\/i>Standard model for promoting social acceptance of AI in the work process (IAW)<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Partners<\/h1><\/div><\/div><\/div>Practice Partners<\/h3><\/div><\/div><\/div>Research Partners<\/h3><\/div><\/div><\/div>
Automated ML processing chain influenced by users or domain experts at critical points (INI)<\/p>\n<\/div><\/div><\/div>
Procedure model for interaction at human-AI-human interfaces in workflow (IAW)<\/p>\n<\/div><\/div><\/div>
Standard model for promoting social acceptance of AI in the work process (IAW)<\/p>\n<\/div><\/div><\/div><\/div><\/div>
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