What if your organization’s “Agility” dysfunction isn’t an implementation problem but a missing-conditions problem that switching to, say, a product operating model cannot solve? This article identifies the success factors for agility that are absent in your organization. It gives you concrete Monday-morning actions to test what’s actually possible within your sphere of influence to drive change, because agility matters.
AI can silently erode your product operating model by replacing empirical validation with pattern-matching shortcuts and algorithmic decision-making. This article on product development AI risks, along with its corresponding video, identifies three consolidated risk categories and practical boundaries to maintain customer-centric judgment while leveraging AI effectively.
Version 1 of the AI for Agile Practitioners Online Course just closed its first two weeks with 250 new students. The feedback has been direct and useful: Practitioners value the realistic MegaBrain.io scenario work, the quiz design that tests judgment rather than memorization, and the focus on ethics and responsible AI alongside practical application. So far, that’s good, but AI 4 Agile v2 seriously needs your input: What topics shall I cover?
👉 Hence, please join the AI 4 Agile v2 Survey; it won’t take more than 3 minutes.
Help me QA the questions for the AI 4 Agile Certificate by taking three short practice quizzes on the intersection of AI and Agile. In return, pass 2 out of 3 and get a free shot at the real AI 4 Agile Certification (40 questions, 45 minutes). The top performer of this small competition also receives the full AI 4 Agile online course.
Your feedback on the questions matters tremendously and helps shape a better curriculum for all practitioners.
The Mastering AI with the AI 4 Agile Online Course launches this week, and I am proud that I avoided another delay. Scope creep happened despite my supposed expertise in preventing exactly that. The course expanded from a simple prompt collection to over 8 hours of video, custom GPTs, and materials that I’ll apparently continue to update indefinitely, as I’m still not satisfied that it’s comprehensive enough. (Also, the field is advancing so rapidly.)
At least the $129 lifetime access means you will benefit from my urge to fight my imposter syndrome with perfectionism and from my inability to call a project “done.” I guess we are in for the long term. 🙂
🎓 🛒 The AI 4 Agile Online Course Is Available — Join Now at $ 129 until October 20, 2025: AI 4 Agile — Master AI Integration for Agile Practitioners.
The Agile world is splitting into two camps: Those convinced AI will automate practitioners out of existence, and those dismissing it as another crypto-level fad. Both are wrong. The evidence reveals something far more interesting and urgent: Principles written in 2001, before anyone imagined GPT-Whatever, align remarkably well with the most transformative technology of recent years. This is not a coincidence. I believe it is proof that human-centric values transcend technological disruption; it is the Agile AI Manifesto.
And coming back to the two camps, here is what both miss: The biggest threat is not that AI replaces agile practitioners. It is AI that reveals what many organizations have suspected. They never needed Agile practitioners. They needed someone to manage Jira.
If your value proposition is running ceremonies, I deliberately do not refer to them as “events,” maintaining Product Backlogs, and generating burndown charts, AI reveals you were doing work the organization could have automated a decade ago. The separation is between practitioners who do real Agile work and those who perform Agile theater. AI is an expertise detector.
