Für Private-Equity- & Growth-Investoren
Program Director · Technologie & Praxis
Baut täglich mit Agents – und hat Dutzende Engineering-Organisationen genau darin trainiert.
Leadership & Organisation
Die menschliche Seite des Wandels: Leadership, Teamdynamik und Workforce-Transformation.
Transformation & Architektur
Operating Models und Architektur im Enterprise-Maßstab.
Kaum eines hat funktionierende AI.
Strategiepapiere gibt es. Champions sind benannt. Aber die Tools sind nicht verbunden, niemand hat verändert, wie tatsächlich gearbeitet wird, und die Produktivitätsgewinne bleiben theoretisch.
Wir sind der Unterschied zwischen einer AI-Strategie und einer, die läuft.
Gemeinsam haben wir die alphalist CTO Bootcamps (öffnet in einem neuen Tab) in Berlin und München durchgeführt – Agentic Engineering mit Kohorten von ~50 CTOs und Engineering-Leadern, im größten CTO-Netzwerk Deutschlands.
Impressionen von den alphalist CTO Bootcamps in Berlin und München
Unternehmen, die wir trainiert haben
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Ein Mehrwert, den Sie Ihrem gesamten Portfolio anbieten können: Sie bringen die Unternehmen und den Veranstaltungsort, wir liefern das Programm.
01 · Ihr Portfolio Day
Eine Keynote mit Hands-on-Teil in dem Raum, den Sie ohnehin einmal im Jahr zusammenbringen. Die CEOs und Führungskräfte Ihrer Portfoliounternehmen sehen, wie agentische Arbeit tatsächlich aussieht, und können danach beurteilen, was real ist und was nur eine Folie.
Ergebnis. Ein gemeinsames, ehrliches Bild im gesamten Portfolio davon, was AI verändert und was nicht.
02 · Das Executive Team eines Unternehmens
Für CEO, CTO und Executive Team eines einzelnen Portfoliounternehmens. Wir arbeiten durch, was sich in der Delivery, in der Organisation und in den Zahlen ändert: was weiter trägt, was bricht und was zuerst zu ändern ist.
Ergebnis. Ein Target Operating Model und ein konkreter Plan, den das Executive Team verantwortet.
03 · Die Teams
Hands-on mit den Menschen, die die Arbeit machen, in Engineering wie in Operations: agentische Entwicklung, Automatisierung von Workflows, Tool- und MCP-Zugriff und die Fragen aus Security, Legal und IT, die all das blockieren.
Ergebnis. Teams, die wirklich mit AI arbeiten, statt Teams, die Lizenzen besitzen.