01 /The starting point

What needed to change.

Our client, an established music industry company with a digital streaming platform and more than 200 employees, needed to keep pace with rapid developments in AI. Competitors had begun introducing AI-powered music recommendations, content creation and user experience features.

The client had extensive data and technical resources but no clear strategy for using AI. Product and technology teams were also organized in silos, making collaboration and innovation difficult. Management recognized the need for both a comprehensive AI roadmap and a team reorganization to remain competitive and open up new growth opportunities.

02 /Our contribution

How we approached it.

We took on interim product leadership as CPO and coordinated both the AI strategy and team reorganization. After analyzing the market and existing data, we identified the AI use cases with the greatest business value and developed a prioritized roadmap combining quick wins with longer-term initiatives.

Team reorganization was central. We broke down silos between product and engineering and created cross-functional teams. Product trios — a product manager, technology lead and design lead — for each core product, together with a dedicated AI competence center, accelerated implementation.

While implementing the first AI features, we focused on building internal capabilities. Targeted training, partnerships with research institutions and regular innovation days helped develop an effective AI team. A measurement framework combining technical and business metrics ensured that initiatives made a measurable contribution and could be improved continuously.

03 /The results

What the engagement changed.

  • 3 AI-powered product features implemented within 6 months
  • Net Promoter Score increased by 25 points through personalized AI recommendations
  • More efficient team structure with 40% faster product cycles
  • An internal AI competence center established with 12 experts
  • User engagement metrics increased by an average of 35%
  • 18% reduction in customer churn through improved personalization

“The product leadership gave us a clear vision for using AI in our product and reorganized our teams to deliver that vision. The results exceeded our expectations — we brought innovative features to market quickly and are already seeing significant improvements in our core metrics.”

CEO · Music industry company

Results relate to the engagement described and its specific circumstances. Testimonial translated from the German source.