TL; DR: Mechanical Ceremonies to Meaningful Events
Your Agile events aren’t failing because people lack training. They’re failing because your organization adopted the rituals while rejecting the transparency, trust, and adaptation that make them work. And often, the dysfunction of mechanical ceremonies isn’t a bug. It’s a feature.
Leadership resistance to your pre-mortem reveals whether your organization’s operating model prioritizes comfortable narratives over preventing failure. This article shows you how to diagnose cultural dysfunction and decide which battles to fight.
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.
TL; DR: How Your Advantage Becomes Your Achilles Heel
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.
TL; DR: Mastering AI 4 Agile with the Best Self-Paced Online Course
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 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.