by Stefan Wolpers|FeaturedAgile and ScrumAgile Transition
TL; DR: Ethical AI in Agile
Agile teams face ethical challenges. However, there is a path to ethical AI in Agile by establishing four pragmatic guardrails: Data Privacy (information classification), Human Value Preservation (defining AI vs. human roles), Output Validation (verification protocols), and Transparent Attribution (contribution tracking).
This lightweight framework integrates with existing practices, protecting sensitive data and human expertise while enabling teams to confidently realize AI benefits without creating separate bureaucratic processes.
TL; DR: David Pereira, Cliff Berg, and Jonathan Odo speaking at Hands-on Agile 2025
The second batch of videos of Hands-On Agile 2025 is in, and you don’t want to miss them: David Pereira reveals why product discovery often fails—and how teams can avoid common pitfalls to rapidly validate ideas and deliver real value. Also, Cliff Berg shares surprising insights from Agile 2 Academy’s study of highly agile companies like SpaceX, highlighting leadership behaviors rather than traditional Agile practices as key agility drivers, while Jonathan Odo explores timeless engineering principles shaping the future of high-performing, adaptive organizations.
These industry veterans bring decades of enterprise transformation experience, providing actionable insights you can implement immediately. Watch the session recordings to transform how you approach agility.
by Stefan Wolpers|FeaturedAgile and ScrumAgile Transition
TL; DR: Not Onboarding But Integration
Stop treating AI as a team member to “onboard.” Instead, give it just enough context for specific tasks, connect it to your existing artifacts, and create clear boundaries through team agreements. This lightweight, modular approach of contextual AI integration delivers immediate value without unrealistic expectations, letting AI enhance your team’s capabilities without pretending it’s human.
When you step into a new role as Scrum Master or agile coach for a team under pressure, you’re immediately confronted with a challenging reality: you need to understand the complex dynamics at play, but have limited time to process all the available information. This article explores how AI interview analysis can be a powerful sensemaking tool for agile practitioners who need to synthesize unstructured qualitative data quickly, particularly when joining a team mid-crisis.
TL; DR: Optimus Alpha Creates Useful Retrospective Format
In this experiment, OpenAI’s new stealthy LLM Optimus Alpha demonstrated exceptional performance in team data analysis, quickly identifying key patterns in complex agile metrics and synthesizing insights about technical debt, value creation, and team dynamics. The model provided a tailored Retrospective format based on real team data.
Its ability to analyze performance metrics and translate them into solid, actionable Retrospective designs represents a significant advancement for agile practitioners.
TL; DR: Dr. Lynn Kelley, Peter Merel, and Jurgen Appelo speaking at Hands-on Agile 2025
The first videos of Hands-On Agile 2025 sessions are in, and you don’t want to miss them: Dr. Lynn Kelley reveals her “Change Questions” framework with its remarkable 90% success rate for sustainable organizational transformation, while Peter Merel challenges conventional agile thinking with “The Agile Way,” connecting ancient wisdom to modern AI-agile alignment through six essential themes. Also, Jurgen Appelo explores how AI is revolutionizing leadership in “Humans Robots Agents,” offering practical strategies for thriving amid technological disruption.
These industry veterans bring decades of enterprise transformation experience, providing actionable insights you can implement immediately. Watch the session recordings to transform how you approach agility.
