AI solution: Knowledge Hub | 2026
Medium-sized mechanical engineering company
A medium-sized mechanical engineering company with several locations was faced with a double challenge: new employees needed to become productive more quickly - while important knowledge was scattered across heads, files and systems. The company was looking for a solution that would make knowledge centrally available and actually be used on a day-to-day basis: quickly, reliably and in the right format.
The challenge
Secure knowledge - and get newcomers up and running quickly
In the day-to-day work of the mechanical engineering company, relevant knowledge was generated in many places: in projects, in service, in coordination with customers and in the daily exchange of experience. At the same time, this know-how was distributed across numerous systems, documents and personal knowledge bases. For new employees, this meant long training periods, high dependency on individuals and inconsistent information. The aim was therefore to secure critical knowledge centrally and make it available in such a way that it can actually be used at the moment of need.
Specifically, the following challenges arose:
- Distributed knowledge: Information was stored in documents, training courses, project documents and heads - without a reliable point of contact.
- Experiential knowledge at risk: Know-how was hardly available in a structured way and was at risk of being lost.
- Induction too dependent: New employees needed many personal handovers - quality and speed varied greatly.
- Lack of suitability for everyday use: Static documentation/training often did not help when quick, concrete support was needed.
The solution
From learning system to digital work and knowledge companion
The Knowledge Hub was designed as a company-wide work and knowledge companion - as part of everyday working life rather than another learning system. The aim: to make knowledge available at the moment of need, in the right format and context.
The solution at a glance:
- Central knowledge space: Bundles knowledge from sources and makes it findable in context.
- Answers in the right format: Chat as an introduction, supplemented by flashcards, audio (e.g. short podcasts) and videos.
- Knowledge retention as a process: Content is continuously supplemented and updated from practice.
- Scalable & consistent: Governance ensures uniform answers - usable across all locations.
The result is a learning knowledge system that supports employees in their day-to-day work and actively retains knowledge within the company.
The result
From distributed knowledge to a scalable knowledge base
Thanks to the Knowledge Hub as a digital work and knowledge companion, the company has been able to change learning and knowledge utilization in the long term. Knowledge is now centrally available, consistently processed and can be used exactly when it is needed in day-to-day work.
The most important results:
- Faster familiarization: Newcomers find information independently and situation-related.
- Experiential knowledge secured: Critical know-how is retained and further developed.
- More consistency: Standardized answers reduce queries and sources of error.
- Relief: Recurring questions do not have to be answered individually as often.
The knowledge hub has thus evolved from a learning tool to a strategic infrastructure that makes knowledge scalable and keeps the organization capable of acting in the long term.
Ready for your own knowledge hub?
Your organization also has valuable know-how lying dormant in documents, minds and various systems. Let's analyse together how an AI-supported knowledge hub can revolutionize your knowledge retention - tailored to your processes and requirements.
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