Tracy Lee talks with Felicia Schwartz about how to scale AI the right way. They cover what actually works beyond the hype, how to pick the right use cases, and why getting buy-in from your team matters more than fancy models. Felicia shares her six-step framework for real AI adoption and lessons from companies that got it right and wrong.Keypoints from this episode:

- Scaling AI starts with business value, not technology hype. Felicia emphasizes the need to align AI initiatives with real business goals and measurable outcomes.- Leaders must demystify AI for their teams. Success starts with education and cross-functional collaboration, especially at the leadership and middle management levels.- Start small with high-impact use cases. A clear framework helps prioritize initiatives based on feasibility and value, avoiding the trap of “just checking the AI box.”-Feedback loops and transparency drive adoption. Sharing wins, failures, and learnings openly is key to building trust and momentum across the organization.Follow Felicia Schwatz on Linkedin: https://www.linkedin.com/in/felicia-schwartz/Sponsored by This Dot Labs: thisdot.co