The Human System Around AI | Heidi Munc

AI transformation is often measured through efficiency: faster workflows, greater throughput, fewer manual tasks. But what happens when those gains change the conditions people need to do good work? In this episode, Cindy talks with Heidi Munc, VP of UX at Nationwide, about the human system around AI—and what leaders risk missing when they focus too narrowly on adoption and productivity. Drawing from real examples inside the organization, Heidi shares what happened when AI compressed days of research synthesis into seconds, why automating the easiest call-center interactions can create unexpected emotional costs for employees, and what the field of air traffic control can teach us about the limits of simply keeping a “human in the loop.” The conversation explores why Heidi prefers the idea of the human being “in the lead,” how cognitive systems engineering is shaping Nationwide’s approach to human-AI teaming, and why successful transformation increasingly requires leaders to think beyond technology deployment. Ultimately, the episode asks the question: What conditions help people retain judgment, build new capabilities, experiment safely, absorb change, and become more effective alongside increasingly capable machines? Key takeaways Efficiency can hide second-order consequences.AI may make work faster, but leaders need to look beyond throughput. Removing “inefficient” work can also remove other conditions people rely on to perform well. Human in the loop is not enough.Keeping a person involved in an agentic workflow does not guarantee safe outcomes. People need the understanding, confidence, and authority to challenge the system when necessary. Adaptation needs to be intentionally supported.People need space to learn, experiment, build new skills, and see how AI applies to their work. Leaders have to go through the learning too. Credibility matters. Leaders cannot ask teams to adapt to fundamentally new ways of working without being willing to learn, experiment, and experience some of that uncertainty themselves. Chapters 00:00 Show Introduction 01:14 The Hidden Costs of AI-Driven Efficiency 01:18 About Heidi Munc 04:15 The Efficiency Trap and Its Implications 09:22 Understanding the Hidden Costs of Efficiency 13:36 Invisible Work and Its Impact on Teams 16:51 Collaboration Between UX and HR for Sustainable Practices 18:27 The Role of AI in Upskilling Organizations 18:58 Hidden Costs of Efficiency in Call Centers 22:22 Balancing AI Implementation with Employee Wellbeing 22:28 Designing AI Systems Responsibly 24:13 Challenging the Concept of 'Human in the Loop' 26:27 Insights from Air Traffic Control on AI Training 29:45 Human Accountability in AI Systems 31:32 The Importance of Human Leadership in AI 34:43 The Shift in Design Approaches for AI Systems 36:56 Everyday AI and Agentic Workflows 38:54 Emergence of AI Teaming Principles 41:41 Framework for Responsible AI Design 42:36 Integrating Experience Design in AI Solutions 43:46 Operationalizing Human-AI Teaming 43:46 Transforming Workforce for AI Integration 44:04 Leaders and Workforce Transformation in AI 49:32 The Importance of Adaptation in AI Transformation 50:50 Human-Centered Leadership in AI Change About Heidi Heidi is a user experience expert and creative problem solver. With over 20 years of experience, Heidi has successfully demonstrated the value of using design thinking to solve business problems in large organizations. She is a tireless advocate for both user-centered design and the power of using design techniques to solve complex problems. As Vice President of User Experience at Nationwide, Heidi leads a team of ~100 user experience professionals who are accountable for all aspects of experience strategy and design. As the Vice President of City Council in Upper Arlington, Heidi leverages human-centered practices to envision and build a better future for the residents of the city. Licensed music by Kid Kodi ⁠⁠Blue Dot Sessions⁠