Aflevering Why Your Ai Implementation Fails And How To Fix It With Sophia Zitman | Ep. 136

AI implementations rarely fail because of the technology. They fail because of people, incentives, fear, and organizational blind spots. In this episode of Women Disrupting Tech, I talk with Sophia Zitman, Director of AI Projects at Kickstart AI, about what actually makes AI work in real organizations. From starting with the why instead of the tech, to navigating politics, resistance, and design choices that determine whether AI ever makes it to production. This conversation is for founders, operators, and leaders who want to move beyond AI hype and build systems that are useful, ethical, and adopted. Follow Women Disrupting Tech for more conversations like this. In this episode - Why humans, not technology, cause most AI failures - How to design AI around real organizational goals - Why resistance is often a signal, not a blocker - What founders underestimate about AI infrastructure - How AI can lower the barrier to building companies and accessing education Chapters: 01:23 Why most AI strategies fail in practice 04:23 Sophia Zitman and building AI that delivers value 11:13 The real reason AI projects break down 17:33 Designing AI around people and workflows 23:38 When politics derail even good AI projects 32:23 What successful AI implementation looks like 47:08 AI as an advantage for startups and founders 56:53 AI as an equalizer and building inclusive tech Connect with Sophia Zitman: Sophia Zitman on LinkedIn. Support the podcast: Subscribe on Substack Follow the podcast on Spotify Follow the podcast on Apple Podcasts Follow the podcast on YouTube