Background

The Rheinische Post Media Group (RPM) is one of Germany’s leading regional media companies, operating across print, digital, and audiovisual channels. Like many players in the media industry, RPM faces rapid shifts in audience behavior, rising content demands from readers, and increasing competitive pressure driven by digital platforms. 

To stay competitive, RPM recognized that Generative AI could unlock efficiency, creativity, and innovation so they aimed to equip both its editorial teams and functional units with the skills to use these technologies responsibly and effectively. 

 

Business Value

Over 1,000+ employees joined GenAI training, building shared, practical AI capability across the organisation.

Participants created CustomGPTs on RPM’s platform and generated 100+ use cases, with 50+ already built—moving from learning to real, value-creating adoption.

Challenge

Prior to engaging DAIN Studios, RPM had already launched an internal AI taskforce and begun shaping its AI strategy and transformation roadmap. What was missing, however, was the ability to scale AI literacy across the entire organization. To address this gap, RPM intended to train approximately 1000 employees across all hierarchical levels. 

Due to industry transformation, RPM faced a sense of urgency to fight the skill gap and fragmented understanding of AI potential among the employees and to increase the cultural readiness. Further, the leadership needed a strategic view, not just tools. 

Therefore, a comprehensive upskilling concept in the field of GenAI was targeted at everyone at RPM to coordinate experimentation, develop a shared language for AI and learn how to turn ideas into implementable use cases 

 

Action

Together, we designed a comprehensive program covering top management, leadership roles, employees, and specialist prompting workshops, supplemented by monthly AI office hours to maintain momentum and ensure continuous learning.

DAIN Studios developed a sustainable, organization-wide upskilling approach that embedded GenAI directly into RPM’s day-to-day workflows. Through customized workshop content and intensive preparation, we ensured that the training was optimally tailored to the specific requirements of the editors and functional departments in different hierarchical levels and to their use cases, and levels of AI maturity 

Our collaboration unfolded in four phases: 

  • Phase 1 – Needs analysis & stakeholder alignment: Understanding the company, use cases, and priorities of departments 
  • Phase 2 – Tailoring of curriculum: Designing learning paths and real-life examples relevant to editorial and business teams 
  • Phase 3 – Delivery of multi-level training programs: Rolling out AI Basics, leadership formats, employee trainings, and prompting workshops 
  • Phase 4 – Ongoing support & embedding: Monthly updates regarding AI tools, regulations, or strategy called “office hours” over 5–6 months to reinforce learning, answer emerging questions, and ensure adoption. 

A comprehensive support concept with office hours accompanies the implementation over the entire duration of more than half a year. In this way, we established GenAI expertise in the entire organization on a sustainable basis by ensuring adoption, not just training

Methods, Technology and Approach 

The program began with foundational “AI Basics” modules that explained what GenAI is, how it works, and how it is already transforming the media industry. Building on this foundation, participants engaged in practical exercises using different AI tools such as ChatGPT for creative writing, Perplexity for research, and the internal AI platform for text generation and modification. 

 

A central element of the approach was Data Thinking, a structured method to identify, evaluate, and develop AI use cases within teams. In small groups of no more than 25 participants, we created an environment for open discussion, individual reflection, and collaborative problem-solving. This setup allowed participants to experiment with prompting strategies, apply GenAI to real editorial or functional tasks, and develop small-scale use cases that could be integrated into their daily work. 

 

 

Impact

More than 1000 employees participated in at least one of the GenAI training formats, some employees even went through several of our trainings such as AI basics, Prompting, Advanced Prompting and the Office hours.  

The program significantly increased awareness of AI’s opportunities and limitations strengthened confidence in experimentation, and established a shared understanding of how GenAI can support editorial and functional workflows. A key milestone was that every participant built their own CustomGPT within the RPM AI platform and learned a structured method for sourcing, shaping, and implementing AI use cases. Across the organization, more than 100 use-case ideas were generated during the AI Basics trainings, with over 50 already developed on the internal AI platform. This demonstrates not only high engagement, but a clear shift from theoretical understanding to practical, value-creating application. 

Margret Seeger

Group Head of AI
at Rheinische Post Mediengruppe

“From the very beginning, our collaboration with DAIN Studios has been characterized by professionalism, commitment, and genuine partnership.

Together, we developed our RPM approach, which inspires and empowers our workforce with the possibilities of AI. DAIN Studios has impressed us not only with their expertise but also with their ability to convey complex topics in an understandable and practical manner.”

Client

Rheinische Post Mediengruppe

The Rheinische Post Mediengruppe is a medium-sized media company based in Düsseldorf. It publishes the highest-circulation daily newspaper in the Rhineland: The Rheinische Post reaches approximately 759,000 readers daily with a circulation of around 208,000 copies sold.

INDUSTRY
Information, Communication & Media

CASE
DAIN Academy, Data & AI Transformation, Data Literacy, Generative AI

BUSINESS VALUE FOR
Scaling practical GenAI capability across the organisation: faster workflow improvement, more consistent use, and a growing pipeline of internal AI use cases ready to deliver efficiency and quality gains.

Meet our experts

Julia Blume
Senior Data & AI Strategist