Don't abandon Agile for AI. The real bottleneck isn't speed of delivery, it's organizational decision-making and clarity about value. Dave West, CEO of Scrum.org, warns that organizations adopting AI are making a critical mistake. They're abandoning foundational Agile practices, sprint planning, daily standups, retrospectives- under the assumption that AI's speed removes the need for those ceremonies. But Dave's seen this pattern repeatedly: when organizations get faster delivery tools...

The Scrum Master role hasn't disappeared. It's been diluted, pushed outside the organization, or absorbed into everyone's job description. Peter Maddison and Dave Sharrock dig into what's actually happened to the Scrum Master and agile coach role as AI reshapes how teams work. They trace how a role that once had real impact got watered down as two-day certifications flooded the market, and why the deeper value was never the role itself but the culture of continuous improvement it was meant t...

AI vendors are shifting from flat-fee pricing to consumption-based billing, and most organizations have no idea what their token spend is actually producing. Dave Sharrock and Peter Maddison break down what's driving the shift to AI token economics, why the old "$20 per user" budget model is breaking down, and why usage alone is the wrong thing to optimize for. They dig into the pattern showing up across organizations, where a small share of users account for half the token spend, and why cha...

Giving an AI agent real autonomy means accepting it will fail early and often before it gets good, the same curve organizations hit during any real change. Peter Maddison brings a stuck OAuth problem to the table: an AI agent that kept going in circles and couldn't find its way through. That leads into a conversation from Dave Sharrock's local AI meetup about an AlphaGo-style approach to AI agent autonomy: instead of specifying every step, you define hard constraints and let the model work o...

AI can write code faster than ever, but Peter Maddison and Dave Sharrock argue that coding was never the actual bottleneck in software delivery. In this conversation about AI software delivery, Peter and Dave dig into why faster coding hasn't solved the two problems that always mattered: knowing whether what you built is actually valuable, and knowing what to build in the first place. They connect this back to sprint length, arguing it was never set by how hard the coding is, but by how fast...

Organizational change resistance isn't dysfunction, it's a system doing exactly what it was built to do. Peter and Dave break down why structures, incentives, and leadership behavior create that resistance, and how AI is now exposing it faster than ever. Dave and Peter dig into what they call the organizational immune system: the structures, incentives, and habits that keep a company stable, and that fight back the moment you try to change them. They use the Boeing and McDonnell Douglas merge...

Organizational honesty starts with information: can your team actually see what's happening, and can they say it without fear of pushback? Dave and Peter dig into why teams shade the truth when a deadline is on the line, and what actually creates room for honesty instead. They talk about the difference between activity data and real information, why cheap, near real-time visual management beats a hand-curated status report, and why the structure of a status meeting decides whether bad news ge...

AI is making it faster and cheaper to ship features. That doesn't mean you should ship more of them at once. Peter and Dave dig into a pattern they're both starting to see: organizations using AI-assisted development as a reason to bring back big upfront planning and large project releases. The logic makes a certain kind of sense. If AI can build faster, why not design bigger? But that reasoning skips the part that actually mattered when teams moved to product delivery in the first place: val...

Tommy Cotter is Director of Data Products at Benzinga, a financial media company building the data infrastructure that sits behind trading platforms and investment apps used by millions of people daily. He's been navigating the shift to AI-assisted workflows in a space where speed and accuracy aren't just nice to have - getting it wrong has real consequences. In this episode, Peter and Dave talk with Tommy about what it actually looks like to build data products responsibly in a fast-moving A...

Royce Sin spent a decade at HSBC automating things nobody asked him to automate. He didn't ask for permission. He just did it, showed people the results, and let the time savings speak for itself. That instinct, to question why things are done a certain way and then actually do something about it, is what eventually led him into the AI space. In this episode, Peter and Dave sit down with Royce Sin to talk about what it actually takes for AI to stick inside an organization. Spoiler: it's not a...