Flow Over Efficiency with Steve Pereira | Fix Your System Before You Add AI скачать в хорошем качестве

Flow Over Efficiency with Steve Pereira | Fix Your System Before You Add AI

Most organizations are asking the wrong question. Instead of "how do we get more efficient?" the better question is "what's actually holding our people back?" In this episode, Peter Maddison and Dave Sharrock sit down with Steve Pereira, founder of Visible Flow Consulting, to talk about flow, value stream mapping, and why bolting new tools onto a broken system almost never works. Steve works with large companies to improve operational performance through continuous delivery and large-scale collaboration. The conversations he keeps having aren't about cutting costs. They're about untethering capable people from the systems that are quietly getting in their way. What we cover: Why high utilization is often the enemy of good work How lean thinking applies to knowledge work without losing what makes it different What happens when you add AI on top of a system you don't fully understand The "tight, loose, tight" pattern that quietly kills predictable delivery Full kit: the concept that changes how you think about prioritization Want all 4 takeaways? Don't miss the last few minutes of the episode. 📖 Book mentioned: Tools of Flow by Tody Goldratt A practical read on triage, prioritization, and the concept of full kit.   / goldratt-s-rules-of-flow   🎙️ About Definitely Maybe Agile Hosted by Peter Maddison and Dave Sharrock, Definitely Maybe Agile is a weekly podcast exploring the real complexities of Agile, DevOps, and organizational change at scale. No buzzwords, no rigid frameworks. Just honest conversations from practitioners who have been in the trenches. 🌐 Website: definitelymaybeagile.com 📩 Feedback: feedback@definitelymaybeagile.com Timestamps: 00:00 Introduction 01:11 The most common pain point Steve sees 03:12 Why efficiency is the wrong conversation 06:20 Flow vs efficiency 09:30 Value stream mapping in knowledge work 12:11 Dependencies in creative vs manufacturing contexts 17:08 Work in progress and the utilization trap 20:05 Prioritization and decision-making systems 27:18 AI and why you need to map first 30:45 Standardization and the resistance to it 34:56 Three (actually four) takeaways