A full-day live training for certified Scrum Masters and Product Owners. Close the gap between your certification and real-world Scrum practice. AI tools, the RCCF prompt framework, and coaching leadership skills — all in one day. $299. Certificate included. Capped at 12 participants. AgileAIDev.com.

Five AI stories from the week of June 15–20, 2026 — all verified from primary sources — and what each one means for the Scrum Masters, Product Owners, and developers on your team. No filler. Just what changed and why it matters to you.

AI Agents Don't Replace Your Scrum Team — They Multiply It

Are you worried AI is coming for your Scrum team's jobs? You're not alone — but you're also wrong. And in this video, I'll show you exactly why.

After 30 years in software development and 15+ years as a Certified Scrum Trainer, I've seen every wave of technology that was supposed to make developers obsolete — CASE tools, offshore outsourcing, low-code platforms. None of them did it. But AI agents are genuinely different. Not because they replace your team, but because for the first time, you can add a tireless, always-on team member who ships work while your humans sleep.

In this video, I break down exactly where AI agents fit inside a real Scrum team — and more importantly, where they don't.

What you'll learn:

🔹 Why the fear is real — and why it's still wrong — AI agents are exceptional at complicated work: writing functions, generating tests, drafting documents. But complex problems — the kind Scrum was built for — still require human judgment, relationships, and context no AI currently has.

🔹 What the AI "team member" actually does in a Sprint — From Sprint Planning through Retrospective, I'll walk you through exactly how an agent plugs into each Scrum event: flagging acceptance criteria gaps, generating test stubs, surfacing sprint patterns your team missed, and preparing Sprint Review summaries your Scrum Master can edit and your Product Owner can present.

🔹 How the Scrum Master role evolves — You're still an impediment remover. But now you have a new category of impediment: non-human team member blockers. API rate limits. Failing Definition of Done checks. Prompt refinement problems. I call this agent stewardship — and it's not a smaller job. It's a bigger one.

🔹 The Product Owner's new superpower — A well-prompted agent turns a stakeholder conversation into a fully structured user story with acceptance criteria in under five minutes. It generates backlog risk analyses, flags under-specified stories, and writes the same feature from multiple user perspectives so your refinement sessions are richer than ever.

🔹 The one rule that keeps you in control — Every team that has struggled with AI has broken this rule. I'll tell you exactly what it is, and why following it changes your team's entire relationship with AI agents.

Certification teaches the rules. This class teaches the whole Scrum team how to actually apply them — starting day one.

Key Points:

• The class is designed for the entire Scrum team, not just the Scrum Master
• Every student receives a downloadable Student Workbook — a practical reference, not just a PDF of slides
• Content goes beyond what certification courses cover: team collaboration inside a Sprint, real ceremony execution, and jump-starting new Scrum Masters
• Seats are limited; class launches tomorrow

Bottom Line: Certification is the starting line. This course is what comes next.

Leading AI-Enabled Organizations is a practical leadership event designed to help non-technical and technical leaders guide their organizations through AI adoption with clarity, discipline, and measurable business value.

Participants will learn how to understand AI without hype, build an AI strategy tied to real business outcomes, lead people through AI-driven change, establish responsible governance, and measure the impact of AI initiatives. The session emphasizes that AI is not just a technology initiative—it is an enterprise capability involving strategy, people, process, risk, and accountability.

Attendees will leave with actionable frameworks for selecting AI pilots, defining ownership, communicating change, creating acceptable-use policies, and tracking ROI. The central message is that AI amplifies human judgment; it does not replace leadership, ethics, or accountability.