# Peter Maddison

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Project vs. Product: Finding the Operating Model That Actually Fits

Most organizations are running some version of a project operating model or a product operating model - or, more honestly, an uncomfortable mix of both. In this episode, Peter Maddison and Dave Sharrock get into what actually separates these two approaches, where the tensions show up, and why copyi…

Do You Actually Have a Capacity Problem?

Most organizations think they have a capacity problem. They usually don't. What they have is a work-in-progress problem. And those two things call for very different solutions. In this episode, Peter Maddison and Dave Sharrock dig into one of the most persistent headaches in organizational manageme…

Intent Is Not Enough

Agreeing on an idea doesn't mean you both understood the same thing. Dave Sharrock and Peter Maddison dig into why shared context breaks down in practice, and how AI makes that problem harder to ignore. This week's takeaways: Intent is always imperfect. Define how you'll validate it, not just what…

AI in the room, helping non-technical teams actually use it

Conference season is back, and so are the real conversations. In this episode, Peter Maddison and Dave Sharrock catch up after a busy stretch of travel and dig into something Dave has been road-testing at conferences: why most people given access to AI tools freeze up, and what actually helps them …

What Organizations Get Wrong About Junior Engineers and AI

As AI handles more of the foundational work, entry-level engineering roles are disappearing. Peter Maddison and Dave Sharrock examine why that trend is short-sighted, what junior developers actually contribute to team growth and AI adoption, and how organizations that skip early-career hiring may b…

AI Coding Speed Isn't Agile's Real Bottleneck

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 whe…

Why AI Agents Need Room to Fail Before They Learn

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 i…

What Your AI Token Spend Is Actually Buying

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 breaki…

What Happened to the Scrum Master Role?

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 …

Why AI Agents Don't Belong on Your Org Chart

Giving AI agents names and a spot on the org chart makes people feel less accountable for the work, and it squeezes the agent into a role it doesn't need.Dave Sharrock and Peter Maddison dig into new research from the September/October 2026 issue of Harvard Business Review on what happens when orga…