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 episodeWhy humans, not technology, cause most AI failuresHow to design AI around real organizational goalsWhy resistance is often a signal, not a blockerWhat founders underestimate about AI infrastructureHow AI can lower the barrier to building companies and accessing educationChapters:01:23 Why most AI strategies fail in practice04:23 Sophia Zitman and building AI that delivers value11:13 The real reason AI projects break down17:33 Designing AI around people and workflows23:38 When politics derail even good AI projects32:23 What successful AI implementation looks like47:08 AI as an advantage for startups and founders56:53 AI as an equalizer and building inclusive techConnect with Sophia Zitman:Sophia Zitman on LinkedIn.Support the podcast:Subscribe on SubstackFollow the podcast on SpotifyFollow the podcast on Apple PodcastsFollow the podcast on YouTube