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.