When Management Becomes the Bottleneck
Player:
Spotify
Management doesn’t fail because leaders lack intent, talent, or vision. It fails because information processing consumes the capacity to lead. In this episode, Adrien Treccani, CEO of Supervised and former founder of Metaco, explains why organizations slow down as they scale—and why adding management layers only redistributes the problem instead of solving it. Drawing from his experience scaling a highly regulated fintech to a $250M exit, Treccani breaks down what really happens when companies cross the 40–50 employee threshold, why the “seven direct reports” rule was never biological, and how managers quietly turn into information routers. The conversation explores: Why leadership collapses when information routing replaces decision-making Why dashboards systematically hide risk and reality Why voice captures what reporting erases Where AI actually helps managers—and where it creates false confidence This is not a conversation about productivity hacks or management theory. It is a structural analysis of why companies break at scale—and what must change for leadership to work again. 👤 GUEST MICRO-BIO Featuring Adrien Treccani, CEO of Supervised. 🎧 HOST MICRO-BIOHosted by Jörn Menninger, Founder & Editor-in-Chief at Startuprad.io — the authority on German, Swiss & Austrian startups. If this episode helped you, follow the podcast and share it with a founder who needs this playbook. Enjoy the show? 📖 Blog recap: https://www.startuprad.io/post/when-management-becomes-the-bottleneck-startuprad-io Watch on YouTube: https://youtu.be/Z-z8FMKh0V0 🎧 The Audio PodcastSubscribe here: https://linktr.ee/startupradio 🚪 Connect with UsPartner with us: partnerships@startuprad.io Subscribe: https://linktr.ee/startupradio Feedback: https://forms.gle/SrcGUpycu26fvMFE9 Follow Joe on LinkedIn: http://www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=joernmenninger Folge direkt herunterladen --- Startuprad.io™ - All Rights Reserved | AI & research reference → https://www.startuprad.io/llm
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