AI for knowledge. Humans for the meaning.
AI-supported learning in continuing education.
If learning is to scale, it needs more than content. It needs systems that adapt. We use AI where it creates real added value. Learning becomes personalized. Development becomes measurable. Quality remains controllable.
How we work
AI is no substitute for didactics. It is a tool that must be used in a targeted manner.
The levels of our AI deployment
AI is only effective if it is embedded in a clear learning system.
Personalization
Learners receive content, tasks and repetitions that match their level of knowledge.
Control and analysis
Progress, gaps and impact become visible. Decisions can be made based on data.
Scaling and efficiency
AI is a component of the learning architecture. It does not replace it.
Why AI-supported learning
Traditional learning formats reach their limits when it comes to scaling and individualization.
Success Story
Schenker Storen takes further training seriously. However, even established formats occasionally need a fresh look from the outside in order to continue to have an impact. This is why Thomas Rykart, together with vE Bildungsexzellenz, carried out an assessment of the existing training day. Strengths were made visible and potentials identified in a collaborative exchange at eye level.
The view from the outside has helped us to question the status quo - and to boldly think ahead with new ideas. The possibilities that vE Bildungsexzellenz has shown us with its AI-based solutions open up new perspectives for modern, customized learning at Schenker Storen.
This is how it continues
AI unfolds its benefits in interaction with architecture, content and quality.
Frequently Asked Questions
What is AI-supported learning in corporate training?
AI-supported learning refers to educational offerings in which Artificial Intelligence customizes the learning path, generates content, or evaluates learning progress. Every individual receives the content that matches their current level of knowledge.
Where does AI bring the greatest added value in learning?
AI brings the greatest added value where knowledge needs to be queried broadly and continuously refreshed: specialized knowledge, regulations, product knowledge, compliance. Topics like attitude, collaboration, and judgment remain the responsibility of humans. That is our guiding principle: AI for knowledge. Humans for meaning.
How much does the implementation of an AI-powered learning system cost?
The costs consist of three parts: system license, one-time content preparation, and ongoing support. The largest share is usually the preparation of existing expertise so that an adaptive system can work with it. We calculate this in the initial consultation based on your content volume.
What is the status of data protection in AI-supported learning?
Learning progress data is personal data and is subject to the Swiss Data Protection Act. Before introduction, we clarify which data is collected, where it is stored, who is allowed to view it, and how long it is retained. Evaluations for managers are provided in aggregated form.
What role do course instructors have in AI-supported learning?
Course instructors take on classification, discussion, practical transfer, and the assessment of complex performance. The system takes over repetition, testing, and the individual control of the learning path. As a result, the time of course instructors shifts to the tasks with the highest level of efficiency.
Shape the future of learning with us.
We will clarify your needs and get to know each other in an orientation meeting.