business
Hosted by Peter Maddison and Dave Sharrock · business · EN-US
Adopting new ways of working like Agile and DevOps often falters further up the organization. Even in smaller organizations, it can be hard to get right. In this podcast, we are discussing the art and science of definitely, maybe achieving business agility in your organization.
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Signup to Generate a PitchAdopting new ways of working like Agile and DevOps often falters further up the organization. Even in smaller organizations, it can be hard to get right. In this podcast, we are discussing the art and science of definitely, maybe achieving business agility in your organization.
Definitely, Maybe Agile is hosted by Peter Maddison and Dave Sharrock. The show has published 237 episodes to date.
Recent episodes include "AI in the SDLC Is Only as Good as Its Context" (29 October 2026, 21 minutes), "Outcomes Over Output with Mik Kersten" (22 October 2026, 36 minutes), and "Is Spec-Driven Development Just Big Upfront Design?" (8 October 2026, 20 minutes).
Definitely, Maybe Agile publishes roughly weekly, with episodes averaging 22 minutes across 237 episodes.
Booking probability for Definitely, Maybe Agile is 36%, and the host is rated Selective on guests. Definitely, Maybe Agile requires a Pod Score of 80 or higher. Definitely, Maybe Agile's contact route on record: verified email.
The strongest fits for Definitely, Maybe Agile are Business & Management Consulting. Definitely, Maybe Agile has a business audience.
Peter Maddison and Dave Sharrock hosts Definitely, Maybe Agile, a business podcast with 237 episodes published.
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Episode #234
AI in the software delivery lifecycle is moving faster than any process you can write down. A model that works today may be wrong in a month or two. Dave Sharrock and Peter Maddison unpack what AI is really doing to the...
Episode #233
AI can now produce output faster than most organizations can absorb it. Mik Kersten explains why the move from output to outcome has become a leadership job. Mik, author of Project to Product and his new book Output to...
Episode #232
Spec-driven development with AI is getting a lot of attention. Peter and Dave ask when that structure actually helps you, and when it slows you down. They start with the AI SDLC white paper Anthropic recently published...
Episode #231
AI agents will tell you everything works. Here is how to validate AI output when the mistakes are ones no human would ever make. Peter and Dave compare notes from building software, training material, and presentations...
Episode #230
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...
Episode #228
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...
Episode #230
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...
Episode #229
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...
Episode #228
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...
Episode #227
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...
Episode #226
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...
Episode #225
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...
Episode #224
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...
Episode #204
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...
Episode #203
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...
Episode #202
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...
Episode #201
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...
Episode #220
Most organizations think they're doing AI. They've bought the licenses, rolled out the tools, and told the team to start using Copilot. But adding AI on top of a 40-year-old process isn't transformation. It's...
Episode #219
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...
Episode #218
It doesn't happen all at once. A great idea comes out of a strategy session. Someone turns it into a PowerPoint. Another person summarizes that PowerPoint with AI. By the time it reaches the team building it, the sharp...
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