Interactive AI workshops: Learning by doing

Why an AI workshop should be the first step

Studies show that up to 70% of digital transformation projects fail if employees are not sufficiently involved in the new technologies. Digital skills are essential nowadays. When it comes to implementing AI, we consider this to be even more drastic due to the exponential development, which will never again be as slow as it is now. A successful AI project starts with the preparation and involvement of employees. Interactive AI workshops are the first step. They make it possible to bring employees from different departments – from sales and marketing to finance and production – up to the same level of knowledge. This is crucial for creating a common understanding and exploiting synergies. The workshop encourages participant engagement and creates a solid foundation for the successful implementation of AI applications.

The solution development process: from idea to reality

The neuland.ai workshops are based on two key elements: teaching the basic concepts of artificial intelligence (AI) and the practical application of what has been learned.

Element 1: Common understanding and basic knowledge

The primary goal of our workshops is to bring all relevant stakeholders from different areas of the company up to the same level of knowledge. Through comprehensive training, we convey the basic concepts of AI, taking into account the different prior knowledge of the participants, who come from departments such as sales, marketing, finance and production. This common understanding is crucial for effective interdisciplinary collaboration and the acceptance of new technologies. The focus is on interactive learning. Teamwork strengthens the sense of togetherness and efficiency.

Element 2: Practice-oriented application and use case development

The practical part of our workshops builds on this shared understanding. Hands-on AI training promotes practical understanding. Here, the participants define relevant use cases for their company, usually between 8 and 16. We focus on the “low hanging fruit”, i.e. projects that can be implemented quickly and offer high added value. Through targeted consulting, we identify existing data pools and start with the most important use case that promises the greatest benefit. This shows the immediate benefits of AI and motivates the project managers. Various methods and tools are used during the workshop to promote collaboration and learning. From GPT, Claude and text to image generation, everything is included. The user experience is at the center of each application. Through these hands-on exercises and real AI use cases, participants will learn how to apply AI technologies in their organization.

Workshop based on individual needs

neuland.ai offers various workshops, including:

Fit for AI workshop: For employees from different departments, promotes interdisciplinary collaboration through practical exercises and the use of AI tools. Executive workshop: For executives, focuses on strategic implications and the development of AI strategies.

The executive workshop lasts two days and develops a deep understanding of AI technologies. The Fit for AI workshop is shorter and focuses on strategic and business aspects. Both programs rely on interactive learning methods and the involvement of participants to make learning more effective and promote the practical application of AI.

Advantages at a glance

  1. Reduction of implementation time by up to 60%: By involving all stakeholders right from the start, projects can be implemented more quickly.
  2. Understanding and acceptance: building trust and reducing fears.
  3. Competence building: Effective use and problem solving.
  4. Interdisciplinary cooperation: creating synergies and promoting innovation.
  5. Efficiency and productivity: Reduction of errors and optimization of processes.
  6. Adaptability and future-proofing: flexibility and competitiveness.

Our proven process:

And what happens after the workshop?

Diagram of the proven process for AI implementation at neuland.ai, which comprises several stages: Workshop, Assessment, Design Sprint, Solution Development and Solution Delivery.

The graphic illustrates the proven process for the successful implementation of AI solutions at neuland.ai, consisting of the following phases: Workshop, Assessment, Design Sprint, Development of the solution and Delivery of the solution.

The workshop, in which relevant AI use cases are identified, is followed by a three-day assessment on site. The use cases are reviewed and a concrete roadmap for implementation is drawn up.

After a thorough assessment, which includes an in-depth analysis on site, we follow a structured design sprint to translate your ideas into concrete work packages. Data analysis provides deeper insights into business processes. Development then takes place in agile sprints that lead from the first prototype to the final, customer-specific AI product. In this phase, all work packages, delivery packages and quality targets are defined, the prototype is created, tested and optimized. Finally, the finished solution is tested and integrated into the customer’s environment. Measuring success is crucial in order to be able to track progress. In parallel, we support companies in establishing a data-driven culture in order to use data effectively and turn it into intelligent business decisions.

This structured and proven process ensures that each stage builds on the previous one and enables a seamless implementation, while allowing us to respond flexibly to specific needs. See the graphic above for more details.

Conclusion: Achieving success together with interactive AI workshops

Interactive AI workshops are an essential part of the successful introduction of AI projects. They promote understanding, acceptance and competence in dealing with AI technologies. Through practice-oriented training and the involvement of all stakeholders, they create the basis for the effective and successful implementation of AI-supported applications. Let’s take the path from idea to solution together and achieve your business goals with the help of artificial intelligence. Data analysis and problem-based learning solve real-world challenges, while project management and AI training structure the path to success. Innovation management, machine learning and design thinking promote creative solutions. Data protection, remote working and time management optimize your productivity and flexibility. Collaboration tools and cloud computing improve communication and offer scalable solutions.

Together we are shaping a sustainable future of work.