General details
EDIHs involved
Challenges
AI is considered a key technology for digital transformation. Nevertheless, many SMEs have hardly utilised its potential to date. The reasons for this are a lack of expertise, uncertainty in dealing with the topic and limited human and time resources.
SMEs in Schleswig-Holstein, a northerns region of germany, often express the desire to ‘do something with AI’, but do not know where to start. They lack structured, comprehensible access to basic knowledge, practical application examples and opportunities to exchange ideas with other companies. Traditional training formats fall short because they are either too abstract, too technical or not tailored to business practice.
A low-threshold qualification format was required that:
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Conveys a basic understanding of AI.
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Shows concrete application possibilities in various areas of the company.
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Combines practical exercises with theoretical input.
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Offers space for sharing experiences and challenges.
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Actively involves regional companies.
The development of such a format required close cooperation with regional partners in order to specifically address needs and organise the content in a practical way. At the same time, it had to be ensured that the format was flexible, accessible and motivating for participants with different levels of prior knowledge.
By combining comprehensible knowledge transfer, interactive methods and concrete use cases, a format was developed that creates trust, arouses curiosity and motivates active participation in shaping AI processes in companies.
Solutions
The ‘Digital Maker AI Readiness’ training format was developed by EDIH.SH together with the Schleswig-Holstein Chamber of Industry and Commerce to provide SMEs with a low-threshold, practical introduction to the topic of AI. In six modules that build on each other, we teach you the basics of artificial intelligence and show the SMEs a wide range of possible applications. EDIH-SH place particular emphasis on practical exercises, concrete use cases and team dialogue.
The close partnership with the IHK (Industrie- und Handelskammer) guarantees a strong practical orientation, a clear focus on the needs of companies and a broad regional base. All participants receive an official IHK certificate of attendance, which gives the format additional visibility and recognition in the HR departments of companies.
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Module Name |
Module Description |
| The overview - understanding AI (in digitalisation) |
This workshop provides a comprehensive introduction to the basics of artificial intelligence in the context of digitalisation. |
| Automating processes |
In this workshop, you will learn how automation technologies such as RPA (Robotic Process Automation) and AI contribute to the optimisation of processes and the elimination of media disruptions. |
| AI made easy - getting started without coding |
This workshop provides a practical introduction to AI without the need for programming skills. Participants use intuitive low-code and no-code tools to create their own AI applications and reflect on their potential uses. |
| Cybersecurity in the AI world |
This workshop highlights the risks of digitalisation and shows strategies for securing data and AI-supported processes. |
| From data to action - the key lies in the data |
This workshop provides practical training on how to use data from collection to analysis to make informed decisions. |
| From idea to implementation - realising AI projects |
This workshop teaches the success factors for the realisation of AI projects - from the idea to the prototype. |
Results and Benefits
The ‘Digital Maker AI Readiness’ has achieved concrete results.
Key benefits:
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Increased AI readiness in SMEs: The participants have significantly increased their understanding of AI technologies and their operational relevance. Hands-on modules made it possible to work directly with tools.
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Identification of concrete AI potential: each company was able to identify AI use cases for its own operations
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Raising awareness of data quality: for many companies, the discussion about AI showed for the first time the relevance of structured data as the basis for digital applications.
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Strengthening digital resilience through cybersecurity expertise: the participants recognised how essential secure data environments are for the successful and responsible use of AI.
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Motivation and recognition through IHK certificate: ensures official recognition, strengthens professional relevance and increases the internal visibility of the training.
Effect for EDIH.SH:
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Positioning as a reliable partner for digital transformation in SMEs.
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Development of new target groups via the IHK network.
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Greater regional visibility and connection to follow-up services such as technology transfer and funding advice.
Effect for SMEs:
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Ability to independently identify use cases for AI and initiate initial projects.
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Long-term strengthening of digital independence - especially in dealing with AI technologies.
Perceived social/economic impact
Strengthening the competitiveness of SMEs: Practical AI expertise enables companies to automate processes, make data-based decisions and initiate innovations. This increases efficiency and ensures long-term economic stability.
Raising awareness of cybersecurity and digital risks: A special module on IT and data security raises awareness of cyber risks. This not only protects company data, but also promotes digital resilience in the regional economic system.
Promoting digital sovereignty: Participants develop an understanding of AI and are able to assess and use digital technologies independently. This reduces dependence on external expertise and strengthens decision-making skills within the company.
Development of regional innovation networks: The exchange among companies creates sustainable collaborations and promotes an innovation-friendly climate in the region - an important prerequisite for digital transformation in rural areas.
Qualification of specialists and managers: Structured further training improves the digital skills of employees, increases their career prospects and contributes to securing skilled labour - a key location factor for the region.
Driving force for digital culture: Actively engaging with AI technologies has an impact beyond companies and into society and promotes an open, future-oriented attitude towards digital innovations.
Measurable data
The 2025 programme has seen strong engagement across locations, with full participation, high demand, and additional cohorts planned in response to continued interest:
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Participants per programme
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1st programme: 15 participants — starting February 2025 in Lübeck
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2nd programme: 17 participants — starting May 2025 in Rendsburg, with 12 people on the waiting list
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Two additional programmes are planned for the second half of the year — one in Rendsburg and one in Husum.
Lessons learned
Do's: |
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| LESSON LEARNED | WHY | HOW | ||
| Cooperate with established partners (e.g. IHK) | Co-operation with the IHK made access to companies much easier and created trust. |
Relevant target groups could be specifically addressed via the IHK network, and the IHK certificate of participation increased the value of the programme for participants and employers. |
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| Closely interlink theory and practice | Only theoretical input is not enough - practical relevance creates aha moments and motivation. |
Each learning unit should include practical applications (e.g. AI without coding, RPA workflows) so that content can be experienced directly. |
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| Target group-orientated approach | Many employees without a technical background require low-threshold access. |
Avoidance of technical terms, clear examples and practical relevance increase acceptance and learning effectiveness. |
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| Anchoring in the corporate context | Content is more effective if it relates to real processes in the company. |
Incorporate exercises and group work on specific challenges from the participants' day-to-day work. |
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Don'ts: |
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| LESSON LEARNED | WHY | HOW | ||
| Too complex content without translation into practice |
Abstract AI theory without direct relevance leads to excessive demands and disinterest. |
Design content in such a way that it is immediately applicable and understandable - ‘learning by doing’ instead of pure knowledge transfer. |
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| Unclear communication about the goal and benefits |
If companies do not understand what they specifically gain from participating, there is little willingness to participate. |
Provide early and clear information about the objective, process, added value (e.g. IHK certificate) and follow-up offers. |
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| Underestimated time requirement for exercises and dialogue |
Discussions and practical exercises require more time than planned - especially with heterogeneous groups. |
Allow sufficient buffer time, set realistic time. |
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