Evolution Exchange Denmark Podcast Evo DK #348 - Building High Impact AI & Data Teams
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Sep 26, 2025 In a dynamic discussion, Kaare Brandt Petersen, Emil Kozuch, and Felix Krols dive into the intricacies of building high-impact AI and data teams. Kaare shares insights on optimal team sizes for different phases of product development. Emil emphasizes the need for quick wins to build trust, leading to larger projects. Felix discusses pairing senior specialists with juniors for effective knowledge transfer. They explore topics like team culture, the importance of deep tech expertise, and the strategies to foster a decisive, action-oriented mindset.
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Team Size Depends On Context
- Team size depends on organizational model and lifecycle stage, not a universal number.
- Small teams suit early discovery; larger or federated teams work for scale and specialization.
Evolve Team Composition Over The Lifecycle
- Start projects with small, nimble teams for research and discovery phases.
- Add roles (DevOps, UI, etc.) as the product moves from POC to release and maintenance.
Prioritize Quick Wins To Build Trust
- Prioritize quick, feasible projects early to build trust and show value.
- Use those small wins to expand appetite for larger, riskier initiatives later.