A company in northern Germany has identified knowledge management as a key area for innovation. In operational settings, valuable experiential knowledge is generated directly in day-to-day work, but it is often not systematically recorded, is tied to specific individuals, or is difficult to locate. This creates risks of knowledge loss, for example due to employees retiring or changing jobs.



Therefore, the goal is to find a practical, AI-supported solution for capturing, structuring, and making implicit domain knowledge available. The focus is on the audiovisual documentation of systems and processes, as well as ease of use in day-to-day work to support onboarding, problem documentation, and knowledge retention.



Solutions already implemented:

- Use of existing knowledge management solutions, e.g., documents, training materials, file repositories, and Office and collaboration systems.

- Partial use of isolated knowledge platforms and multiple databases with limited interconnectivity.

- Debriefing and interview formats to capture the knowledge of experienced employees (e.g., prior to retirement or offboarding).

- Ongoing or completed projects for documenting facilities, the findings of which should be taken into account.

- Previous approaches in the field of augmented reality (AR), the lessons learned from which can be incorporated into solution development.

- Low-code applications for documenting events with visual material.



Limitations of previous approaches:

- Existing solutions are not sufficiently field-ready; in particular, they lack hands-free functionality.

- There is a lack of uniform standards and a consistent structure for documenting knowledge.

- Knowledge is difficult to find and can only be used to a limited extent because it is scattered across various systems.

- Implicit experiential knowledge has not yet been systematically recorded and preserved.

- An intelligent, user-friendly solution for capturing, structuring, and providing experiential knowledge is currently lacking.



A company in northern Germany has identified knowledge management as a key area for innovation. In operational settings, valuable experiential knowledge is generated directly in day-to-day work, but it is often not systematically recorded, is tied to specific individuals, or is difficult to locate. This creates risks of knowledge loss, for example due to employees retiring or changing jobs.



Therefore, the goal is to find a practical, AI-supported solution for capturing, structuring, and making implicit domain knowledge available. The focus is on the audiovisual documentation of systems and processes, as well as ease of use in day-to-day work to support onboarding, problem documentation, and knowledge retention.



Solutions already implemented:

- Use of existing knowledge management solutions, e.g., documents, training materials, file repositories, and Office and collaboration systems.

- Partial use of isolated knowledge platforms and multiple databases with limited interconnectivity.

- Debriefing and interview formats to capture the knowledge of experienced employees (e.g., prior to retirement or offboarding).

- Ongoing or completed projects for documenting facilities, the findings of which should be taken into account.

- Previous approaches in the field of augmented reality (AR), the lessons learned from which can be incorporated into solution development.

- Low-code applications for documenting events with visual material.



Limitations of previous approaches:

- Existing solutions are not sufficiently field-ready; in particular, they lack hands-free functionality.

- There is a lack of uniform standards and a consistent structure for documenting knowledge.

- Knowledge is difficult to find and can only be used to a limited extent because it is scattered across various systems.

- Implicit experiential knowledge has not yet been systematically recorded and preserved.

- An intelligent, user-friendly solution for capturing, structuring, and providing experiential knowledge is currently lacking.



Advantages and Innovations

The goal is to find a practical, AI-supported solution for capturing, structuring, and making implicit domain knowledge from experienced workers available. The focus is on the audiovisual documentation of systems and processes, as well as ease of use in day-to-day work to support onboarding, problem documentation, and knowledge retention.



Technical Specification or Expertise Sought

Possible solutions:

- Hands-free solution for audio, video, and photo recording in the field (e.g., smart glasses, helmet-mounted cameras, or wearables).

- Hands-free operation via voice control or buttons; simultaneous voice commentary during recording.

- Rugged and portable for field use (e.g., construction sites, factories, technical facilities) with sufficient battery life.

- Support for the German language, including speech-to-text, transcription, and AI-powered text enrichment.

- AI-based content structuring (segmentation, tagging, and knowledge processing).

- Intuitive use for both knowledge providers and knowledge recipients; documentation both on-site and in the office.

- Integration into existing IT, office, and collaboration systems; mobile use (ideally on company cell phones).

- Data protection and governance: Content approval by knowledge providers, no continuous recording, and consideration of employee participation rights and personal rights.

- Digital sovereignty: European, interchangeable AI models and avoidance of dependencies on U.S. or Chinese models.

- Experience with AI-based video analysis, speech-to-text, NLP, and knowledge management, as well as, ideally, in industrial environments and the DACH region.

- Nice-to-have: Solutions or partnerships for field-ready hardware, as well as gamification elements to promote knowledge sharing.



Expected Role of a Partner

The partner should present and explain the technology in detail and provide it for pilot testing. But clients test and try to implement the technology together. In case of a successful pilot the technology might be scaled up to three further enterprises.





Should you have any questions, feel free to contact Mar Coromina mcoromina@secartys.org | 623 35 59 80, and we'll do our best to help you.