Des dirigeants qui ont changé leur trajectoire.
Dirigeants, consultants et fondateurs des programmes exécutifs — avec leurs propres mots, sur ce qui a changé après le programme.
I went from using AI for fun to leading serious, business-focused AI — building business models, governance frameworks, and transformation roadmaps. I now drive AI initiatives in banking with confidence.
It bridged AI and business for me. I built solutions before but couldn’t present them — now I can. The community feels like an incubator for ideas.
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AI doesn’t fix problems — it amplifies them. I learned how to apply AI responsibly to improve decision-making and operations. It exceeded all my expectations.
AI is much more than prompts — it’s a real career tool. I started building my own GPT to support my team, with practical skills and a clear vision for AI at work.
It took me beyond vendor solutions. I became the internal productivity expert and started thinking in scalable platforms instead of one-off fixes.
Coming from a security background, it gave me the structure and confidence to step into AI leadership — and it’s already opening high-level opportunities.
It structured my thinking end-to-end — from problem definition to governance and transformation. Strategic and operational at once. A real mindset shift.
One of the most valuable programs I’ve ever taken — groundbreaking in how it trains leaders to think about AI transformation: strategy and leadership, not just technology.
It helped me step back and approach AI transformation in a practical, controlled way — the structure and language to use AI as a tool, not rely on it blindly.
Real AI transformation starts with people, culture, and readiness — not technology. The frameworks turn ideas into validated, fundable, enterprise-ready projects.
Highly valuable and practical. I’ve already implemented the frameworks in my organization with real success — the governance work especially.
It shifted my mindset — AI isn’t about technology, it’s about the “why.” I make more strategic, justified decisions instead of adopting AI blindly.
The biggest value wasn’t just the content — it was the cohort. Learning from others refined my thinking; the “why” matters more than the tools.
It simplified AI and gave me a clear structure to apply it practically and responsibly — with realistic, implementable use cases for my organization.
Beyond the knowledge, the real value was the network. Exposure to high-caliber leaders expanded my thinking and opened future collaborations.
AI transformation is not a technology challenge — it’s a business and stakeholder alignment challenge. The frameworks are practical and immediately applicable.
It helped me overcome the fear of AI — governance and business outcomes, not just technology. The career framework gave me clarity on my long-term direction.
Initially overwhelming — but step by step it built clarity and direction, turning uncertainty into a structured understanding of AI transformation.
A wonderful journey. I really enjoyed the program and the overall experience.
A real mind stretch. It went by quickly and made me want to keep learning — it opened a much bigger journey ahead.
The key takeaway: focus on one specific, measurable problem instead of trying to do everything at once. That’s how you prove AI value and win buy-in.
It pushed me beyond governance into actually building AI solutions — connecting compliance thinking with real product and industry application.
I came in with no AI background. Intense but extremely valuable — the constant updates and hands-on approach changé how I think about AI.
It exposed me to new areas like agentic AI frameworks — and helped me evolve my project using real tools and platforms.
The biggest value is collaboration. Bringing experienced professionals together to solve real problems with AI creates powerful, practical outcomes.
I joined for a systematic approach to AI strategy — and that’s exactly what I got. The governance models were extremely valuable for building real AI initiatives.
It taught me to approach AI structurally and strategically — a clear path to implement AI safely in healthcare, with monitoring, trust, and patient safety built in.
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Eye-opening. AI is not just use cases — it’s about building responsible solutions that create real value. I’m already leading multiple AI initiatives in my organization.
It showed me how AI can transform HR through data-driven, personalized strategies — a new perspective on workforce management and employee well-being.
A fast, intense, highly enjoyable journey — I now understand how AI can transform customer experience and operational efficiency at scale.
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I was interested in AI but lacked direction — this gave me clarity. The biggest takeaway: AI strategies that actually work, with governance, monetization, and measurable impact.
Leur trajectoire a changé. La vôtre est la prochaine.
Six semaines. Un véritable défi métier issu de votre bureau. Vous repartez avec une initiative IA gouvernée, prête pour le conseil d’administration — construite aux côtés de dirigeants de plus de 20 pays.