AI for knowledge. Humans for meaning.

AI-supported learning.

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.

The levels of our AI deployment
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How we work

AI is no substitute for didactics. It is a tool that must be used in a targeted manner.

Benefit orientation

We first clarify where AI brings real benefits. Not everything has to be changed with AI. We prioritize according to impact.

Didactics

AI supports learning along clear objectives. Content, feedback and repetition follow a learning logic.

Analytics

We ensure quality, transparency and traceability. Learning is continuously analyzed and optimized.

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.

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Three levels

Why AI-supported learning

Traditional learning formats reach their limits when it comes to scaling and individualization.

Initial situation

Different prior knowledge, limited time and high quality requirements make learning complex. AI helps to manage this complexity. Learning becomes more individual. Support becomes more targeted. Resources are used efficiently.

When this solution fits

This solution is the right one if learning is to be personalized and controllable at the same time.

  • You want to specifically address different levels of knowledge.
  • You want to scale learning programs.
  • They need transparency about learning progress and impact.
  • You want to use AI sensibly and in a controlled manner.
  • You are looking for a supplement to existing learning architectures.

What you receive

You receive an AI-supported learning system that fits into your organization.

  • Adaptive learning programs along clear objectives

  • Personalized learning paths and repetitions

  • Analytics for progress and impact

  • Transparent decision-making logic

  • Integration into existing systems

  • Basis for scaling and further development

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.

Thomas Rykart
Training manager, Schenker Blinds
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This is how it continues

AI unfolds its benefits in interaction with architecture, content and quality.

 

Consulting & Strategy

Learning architecture & operation

Quality & verification

Learning Experiences

Shape the future of learning with us. 

We will clarify your needs and get to know each other in an orientation meeting.

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