{"id":10507,"date":"2026-06-23T08:35:57","date_gmt":"2026-06-23T06:35:57","guid":{"rendered":"https:\/\/its-owl.de\/projekte\/engage-ki-artificial-intelligence-in-engineering-for-small-and-medium-sized-businesses\/"},"modified":"2026-06-23T08:35:57","modified_gmt":"2026-06-23T06:35:57","slug":"engage-ki-artificial-intelligence-in-engineering-for-small-and-medium-sized-businesses","status":"publish","type":"projekte","link":"https:\/\/its-owl.de\/en\/projekte\/engage-ki-artificial-intelligence-in-engineering-for-small-and-medium-sized-businesses\/","title":{"rendered":"ENGAGE-KI: Artificial Intelligence in Engineering for Small and Medium-Sized Businesses"},"content":{"rendered":"
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Artificial intelligence can accelerate development processes, make better use of engineering knowledge, and lighten the workload for engineers in their day-to-day work. However, especially in small and medium-sized enterprises, AI is often limited to individual tools, tests, or pilot projects. The it’s OWL flagship project<\/a> ENGAGE-KI develops practical applications for AI in engineering\u2014ranging from co-pilots and AI agents to humanoid robotics, training, and knowledge transfer formats for companies. ENGAGE-KI supports companies in systematically integrating artificial intelligence into engineering processes. <\/p>\n<\/div>\n

What is ENGAGE-KI?<\/h2>\n

Artificial intelligence can help companies develop technical systems more quickly, more robustly, and more efficiently. It analyzes requirements, evaluates documentation, prepares models, integrates knowledge from various sources, and assists with recurring engineering tasks. <\/p>\n

However, many small and medium-sized enterprises are faced with the question of how to turn individual AI experiments into productive applications. ENGAGE-AI develops practical solutions for everyday engineering work. The focus is not on AI as an end in itself, but on its benefits for productivity, quality, knowledge transfer, and collaboration. <\/p>\n

AI Agents, Co-pilots, and Knowledge Management in Engineering<\/h2>\n

ENGAGE-KI focuses on four areas of technology that are particularly relevant to the future of engineering.<\/p>\n

AI-based data and knowledge management<\/strong> is designed to help companies better locate, organize, and utilize existing engineering knowledge. Today, much of this information is scattered across documents, models, databases, or the experiential knowledge of individual employees. <\/p>\n

Engineering co-pilots<\/strong> support engineers with typical tasks in the development process\u2014such as requirements, models, technical documentation, data migration, or code.<\/p>\n

AI agents<\/strong> take it a step further. They can break down tasks, plan intermediate steps, use tools, and consolidate results. This opens up new possibilities for preparing or partially automating recurring task chains in engineering. <\/p>\n

Physical AI and humanoid robotics<\/strong> make AI tangible even in real-world work environments. Companies should be better able to assess the potential applications of humanoid robotics, what is already realistic today, and where current technologies still have limitations. <\/p>\n

https:\/\/www.youtube.com\/watch?v=jM0u2L2AbWA<\/a>