Beyond The Prompt - How to use AI in your company

Alexander Kuilman works with CEOs and executive teams to bring more humanity into how they lead. He joins Henrik and Jeremy to explore why, if leaders know AI matters, getting people to actually use it can still be so difficult.Using Bob Kegan and Lisa Lahey’s Immunity to Change framework, Alex argues that “I don’t have time” can mask deeper fears about competence, relevance, and what happens when AI can do work you previously thought made you valuable. They also explore why psychological safety matters if people are going to admit what they don’t know and actually experiment.The conversation ends with the “AI vampire” and Alex’s idea of “corporate numbing”: AI makes us more productive, but instead of taking the time back, we often fill it with more work. Which leaves a bigger question: when AI gives us time back, what do we actually want to do with it?Key Takeaways: AI resistance may be about fear, not time“I don’t have time” can mask deeper fears about competence, relevance, and what happens when AI can do work you thought made you valuable.People need to feel safe enough to experimentPsychological safety gives people room to admit what they don’t know, try something new, and risk looking incompetent.How leaders make people feel mattersHenrik and Jeremy realize that some of the AI leaders they admire don’t just have good tactics. They make people around them feel safe enough to try.Don’t let AI give you more workThe “AI vampire” turns productivity gains into more work. Alex’s idea of “corporate numbing” asks whether staying busy is sometimes easier than deciding what we actually want to do with the time AI gives back. Alex Kuilman (transcript - fina…The Practice: bethepractice.comAlex's LinkedIn: LinkedIn/AlexKuilmanImmunity to Change by Robert Kegan & Lisa LaskowAmy Edmondson on Psychological Safety: Psychological Safety00:00 Intro: The Problem of Corporate Numbing00:23 Meet Alexander Kuilman04:45 Why Aren’t People Using AI More?06:49 The Hidden Assumptions Blocking Change08:08 Jeremy’s Travel Problem14:12 What Are People Really Afraid of With AI?16:02 Stop Making Time to Experiment22:25 Psychological Safety and AI Adoption32:56 How to Hold Yourself38:57 The Leaders Who Make People Feel Safe40:33 What If AI Helps Us Think Less?44:13 The AI Vampire46:10 Corporate Numbing54:08 Your Humanity Is the Advantage58:05 The Debrief📜 Read the transcript for this episode: Here! For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Jim VandeHei joins Henrik and Jeremy around the launch of his new book, Simplify: Do 50% More With 50% Less, co-authored with Mike Allen and Roy Schwartz. In the conversation, Jim shares how he’s leading Axios through AI, from turning himself into an “AI lab rat” to rethinking how the company works.At Axios, Jim gave everyone access to ChatGPT, brought in training, and invited employees who took naturally to the technology to help others across the company. He also shares how AI fellows working directly with him prototype new ideas, why companies should delete unnecessary work before automating it, and how Axios is preparing for a world where more information moves from the open web into social platforms and personalized LLMs.The conversation ends with a bigger question: what story are we telling people about an AI-enabled future? Jim worries that the negative case for AI is vivid and easy to understand, while the positive case often amounts to curing cancer or eliminating work. He makes the case for something more tangible: using AI to make people’s work and lives better while preserving human connection and the feeling that what people do still matters.Jim's new book: Simplify: Do 50% more with 50% less“Confessions of an AI Lab Rat”: Read here!Axios: Axios.comJim's LinkedIn: LinkedIn.com/JimVandeHeiKey TakeawaysLeaders need to become AI lab ratsLeaders need firsthand experience with AI to understand what it can do and give others permission to experiment.Give the CEO an AI “SEAL team”Jim’s AI fellows help him prototype ideas quickly, stay current, and experiment outside the normal company processes.Delete before you automateBefore using AI to make existing work faster, ask which meetings, processes, and activities shouldn’t exist at all.AI needs a better story about what goes rightThe negative future of AI is easy to picture. Jim argues we need a more tangible vision of how AI can improve people’s lives without losing purpose and human connection.00:00 Intro: Predictions for the future00:46 Meet Jim VandeHei01:06 Becoming an AI Lab Rat04:21 How Axios Got Everyone Using AI05:46 Who Gets the Most Out of AI?08:27 The AI Understanding Gap11:04 How Jim Keeps Up With AI14:20 Building Axios for an AI Future20:47 The CEO’s AI “SEAL Team”23:52 Writing for Humans and LLMs26:49 Delete Before You Automate30:46 The Monthly Mentality35:58 AI-Assisted Writing and Authenticity41:47 The Coming Political Backlash47:42 A Better Story for AI55:25 The Debrief📜 Read the transcript for this episode: Here! For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

After helping lead AI adoption at Moderna, Brice Chalamel has a new goal at OpenAI: help create 1,000 AI adoption success stories across large organizations. Brice takes Henrik and Jeremy inside how work happens at OpenAI, where Slack has largely replaced internal email, agents help process information and draft responses, and some workflows are already moving agent to agent. But as AI takes on more responsibility, Brice argues that trust can’t be mandated. It has to be earned. The conversation goes beyond tools into what it actually takes to lead people through change. Brice explains why, in a ten-step journey, nine steps may only be halfway, why our existing mental models shape how we respond to AI, and why leaders need to listen before trying to change someone’s mind. They also explore Brice’s idea that AI could move us from “knowledge workers” to “intelligence workers,” a personal story about his mother using ChatGPT while caring for his father with Alzheimer’s, and why the benefits of AI need to extend beyond the people already living in abundance.Key Takeaways Trust in AI has to be earned As agents take on more responsibility, people need experience with them before they’re willing to hand over judgment and communication. AI adoption is a mind game and a heart game Successful change depends not just on what people know about AI, but on what they believe, fear, and care about. Nine steps can be only halfway there The final stage of transformation is often where the hardest work begins and assumptions need to be questioned. We’re moving from knowledge workers to intelligence workers As AI handles more information processing, human value shifts toward judgment, perspective, influence, and decision-making. Listen before you think Changing minds starts with understanding the experiences and mental models behind someone’s point of view, not simply making a better argument. Brice's LinkedIn: linkedin.com/in/bricechallamel/ Website: powerofwhy.ai 00:00 Intro: From Knowledge Worker to Intelligence Worker00:30 Meet Brice Chalamel01:18 From Moderna to OpenAI04:50 The Mission: 1,000 AI Success Stories07:45 How Work Happens at OpenAI08:59 When Agents Talk to Agents10:56 Trust Has to Be Earned15:22 Brice’s Principles for Change16:45 Nine Steps Is Halfway There25:21 The Mind Game30:24 Why Leaders Resist AI35:28 The Human Side of AI37:37 When ChatGPT Became a Lifeline41:56 From Knowledge Worker to Intelligence Worker43:37 Agency in the AI Era46:31 Who Gets to Benefit From AI?51:39 What Our Fear of AI Reveals56:18 Listen Before You Think01:03:07 The Debrief 📜 Read the transcript for this episode: Here! For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

A year ago, Logitech had people experimenting with AI. Today, Eric says he can’t think of a single part of the company that isn’t building, exploring, or creating something with it. Eric shares what helped make that happen. There’s a Build Advisor that helps employees figure out what to build and connects them with people who may have already worked on something similar. AI in Action moments are now part of company and leadership meetings. And before leadership presents to the board, there’s an expectation that their work goes through an AI Board Advisor first. Henrik, Jeremy, and Eric also get into what comes next: how to measure whether all this AI activity actually creates value, why Eric built AI systems to manage his own information overload and sleep, and why creating something new should come with another question: what old report, process, or way of working can now disappear?Key Takeaways Embed AI into how work gets done AI becomes more valuable when it’s built into existing workflows and expectations, rather than simply made available for people to use. Make AI adoption visible and repeatable Logitech keeps AI present through AI in Action moments, leadership routines, office hours, shared Gems, and a 175-person volunteer Champions Network. Build resources that help people help themselves Tools like the Build Advisor give employees a place to start, surface work that already exists, and connect them with colleagues who have tackled similar problems. Ask what you can stop doing Eric argues that every new AI-enabled artifact should come with another question: what old report, process, or way of working can now disappear? Eric's website: porres.com/ Eric's LinkedIn: linkedin.com/eporres/ Logitech: www.logitech.com/ 00:00 Embedding AI Into the Workflow00:52 Meet Eric Porres01:15 The Cambrian Explosion of AI06:20 Measuring the Value of AI11:16 The Build Advisor16:12 Keeping Up With AI19:43 Making AI Part of the Culture21:37 The AI Board Advisor25:51 Building an AI Champions Network29:15 Eric’s Personal AI Stack32:17 The AI Vampire Problem40:59 Building a Deep Memory46:49 What Can AI Help You Delete?55:19 The Debrief 📜 Read the transcript for this episode: Here! For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

Most companies know how to innovate. Far fewer know how to scale innovation. Charles introduces the explore versus exploit framework, explaining why the same systems that help organizations succeed today can make them resistant to change tomorrow. As companies mature, they become better at serving existing customers, improving existing products, and optimizing existing processes. The harder question is how to create space for experimentation without undermining the business that already exists. Henrik, Jeremy, and Charles explore what this means in the age of AI. They discuss whether AI should be viewed as a substitute or a complement, why Microsoft's transformation under Satya Nadella succeeded, how Amazon has built exploration into its operating system, and why leaders don't create adaptable organizations through vision alone. They do it by shaping culture through incentives, systems, and the behaviors they reward.Key Takeaways:  The biggest challenge isn't generating ideas. It's scaling them. Many organizations are good at innovation. The difficult part is giving promising ideas the support they need to grow. Great companies become trapped by what made them successful. The metrics, incentives, and culture that optimize today's business can make it harder to adapt to tomorrow's. Culture is built through systems. Leadership principles only matter when they're reflected in hiring, incentives, performance reviews, and everyday behavior. The goal isn't to predict the future. It's to discover it. The most adaptable organizations build processes that help them experiment, learn, and uncover new opportunities as the world changes. Charles' Stanford profile: stanford.edu/faculty/charles-oreilly00:00 Intro: Why Companies Die Fast00:36 Meet Charles O'Reilly02:01 Explore Versus Exploit03:50 AI Substitute Or Complement06:51 Adaptability As Culture09:19 Resistance To Change12:32 Microsoft Culture Turnaround15:25 Ambidexterity And Lifespans18:20 Ideate Incubate Scale20:10 Scaling Needs Separation24:44 Amazon PRFAQ Machine34:33 Rituals And Failure Signals38:05 The Debrief 📜 Read the transcript for this episode: here! For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.