AI Transformation Is a People Problem First: Conversations on Scaling Organizational AI

<p>In this episode of the Leadership Exchange, Rob Ocel and Elliott Fouts sit down with Dorren Schmitt to unpack what it actually takes to lead AI transformation inside a large organization. Drawing from Allen Media Group’s early adoption journey, Dorren shares how her team approached generative AI long before most enterprises had clear strategies in place and why successful adoption depends far more on people, process, education, and organizational alignment than the technology itself.</p><p>The conversation explores practical realities many companies are now facing: employee resistance, AI governance, executive buy-in, budgeting for AI initiatives, workflow redesign, security risks tied to autonomous agents, and the growing importance of cross-functional innovation committees. Dorren explains why organizations need to rethink how they fund and evaluate AI projects, comparing them more closely to venture capital investments than traditional IT initiatives, while also emphasizing the importance of measurable short-term wins alongside long-term transformation goals.</p><p>They also dive into the evolving role of human oversight in AI-driven systems, the risks of automating flawed processes, and why companies that ignore AI entirely may struggle to remain competitive over the next decade. Along the way, Dorren shares lessons from implementing AI across media, finance, operations, creative teams, and enterprise workflows, while introducing the core ideas behind her new book, The AI Production Playbook.</p><p><br></p><p>In this episode, you’ll learn:</p><p>- Why successful AI adoption depends more on people, process, and education than the technology itself</p><p>- How enterprise teams can structure AI governance, innovation committees, and cross-functional collaboration</p><p>- Why many AI projects fail and how organizations should rethink budgeting, ROI, and long-term investment strategies</p><p>- The risks of automating flawed workflows and why human oversight still matters in AI systems</p><p>- How companies can responsibly scale AI across engineering, finance, operations, HR, and creative teams</p><p><br></p><p>Rob Ocel on Linkedin: <a href="https://www.linkedin.com/in/robocel/" target="_blank" rel="noopener noreferer">https://www.linkedin.com/in/robocel/</a></p><p>Elliott Fouts on Linkedin: <a href="https://www.linkedin.com/in/elliott-fouts/" target="_blank" rel="noopener noreferer">https://www.linkedin.com/in/elliott-fouts/</a></p><p>Dorren Schmitt, PhD