Why AI Transformation Starts With Organizational Clarity

AI transformation has a funny way of becoming an organizational X-ray. The companies getting real value from it aren’t necessarily the ones buying the most tools or burning the most tokens. They’re the ones that understand what they’re trying to accomplish, what excellence looks like, and which problems are actually worth solving. In this episode of People Managing People, David Rice speaks with Zapier’s Chief People and AI Transformation Officer, Brandon Sammut, about why AI ROI starts with organizational clarity, how to build experimentation that survives contact with actual workloads, and why adoption eventually needs to give way to impact. They also explore AI coaching, the growing value of judgment and wisdom, and why the best employers may increasingly be defined by how much more capable people become while working there. What You’ll Learn: Why organizational clarity is a prerequisite for meaningful AI transformation How to move from individual AI experimentation to standardized team workflows Why AI adoption is useful as an early indicator—but insufficient as a measure of impact What experimentation requires beyond simply telling employees to “innovate” How AI changes the value of expertise, judgment, wisdom, and influence Why managers still own clarity, resource allocation, and employee development—even with AI How transparency about uncertainty can strengthen confidence rather than undermine it Why employee development could become a defining part of the employer value proposition Key Takeaways: Start with the problem, not the technology. AI is a means, not a strategy. Before asking what AI can do, leaders need clarity about what the organization is trying to achieve and where excellence actually matters. Experimentation needs protected resources. Telling an entire team to experiment while expecting everyone to maintain their existing workload is basically preschool soccer: lots of movement, not much coordinated progress. Give a small group a meaningful problem, dedicated time, and clear stakes. Make failed experiments safe to discuss. The point of experimentation isn’t to produce an uninterrupted string of successes. Leaders have to demonstrate through their behavior that unsuccessful prototypes—and the sharp edges they reveal—are useful information. Stop confusing AI usage with business impact. Adoption matters early because it creates experimentation and learning. Eventually, the scoreboard needs to return to outcomes the business already cares about: customer satisfaction, new-hire success, product reliability, sales performance, and other meaningful measures. Turn individual breakthroughs into institutional knowledge. One employee developing a brilliant AI workflow is useful. A whole team adopting a proven “golden path” is transformation. Organizations need to capture context, workflows, tooling, and learning so improvements don’t remain trapped in somebody’s notebook or Slack history. AI makes wisdom more valuable, not less. When access to information becomes abundant, knowing facts is less differentiating. Judgment, taste, reliability, accountability, and the ability to orchestrate people around difficult problems become more important. Chapters: 0:00 — AI ROI Starts With Clarity 1:27 — What Successful AI Transformation Requires 4:09 — Understanding What’s Possible 5:37 — Why Experimentation Fails 7:33 — Making Space to Experiment 9:52 — Rewarding Learning Over Predictability 11:49 — AI as an Org Health Pressure Test 14:34 — The Problem With Token Maxing 15:47 — Managing AI Usage at Zapier 19:21 — From Individual Gains to Team Workflows 21:16 — Moving From Adoption to Impact 23:54 — Knowledge vs. Wisdom 28:07 — The Manager’s Role in an AI Era 29:57 — AI as an Executive Coach 32:48 — The Leadership Work AI Can’t Do 35:43 — Developing People as an Advantage 38:44 — Closing Thoughts Meet Our Guest: Brandon Sammut is the Chief People & AI Transformation Officer at Zapier, where he leads the company’s People function and organization-wide AI transformation strategy. With a background spanning talent, operations, education, venture capital, and business development, he focuses on building high-performing teams and reimagining how people work alongside AI. Before joining Zapier, Brandon served as Chief People & Culture Officer at LiveRamp and held roles at Teach For America, Owl Ventures, and Boston Consulting Group. He holds an MBA and a Master’s in Education from Stanford University. Related Links: Join the People Managing People Community: https://peoplemanagingpeople.com/free... Connect with Brandon on LinkedIn:   / brandon-sammut-8147b76   Check out Zapier: https://zapier.com/