AI is rewiring Scrum Teams. Smaller crews, faster experiments, TDD renaissance. But Scrum's core stays unchanged. Why empiricism wins in the AI era.

À medida que a inteligência artificial entra cada vez mais nas organizações, líderes e equipas enfrentam uma nova questão: quem deve realmente tomar as decisões, humanos ou sistemas de IA? Este artigo explora como os princípios de delegação podem evoluir na era da inteligência artificial. Em vez de delegar apenas a pessoas, os líderes precisam agora de considerar diferentes níveis de delegação entre humanos e IA, desde a utilização da IA como simples fonte de inspiração até sistemas que executam decisões de forma autónoma dentro de limites definidos. Num contexto Scrum, esta reflexão é particularmente relevante. Product Owners, Scrum Masters e Developers podem utilizar os pilares de transparência, inspeção e adaptação para experimentar de forma segura com a utilização da IA no processo de desenvolvimento de produtos. Compreender quando apoiar decisões com IA e quando manter o julgamento humano torna-se uma nova competência essencial de liderança.

“Performing” in Scrum isn’t a role label. It’s a reality check: the people doing the work must see the real work, in real time, or they’ll guess and everyone else gets a prettier story.

Während die meisten agilen Praktiker noch über die Relevanz von KI diskutieren, habe ich sie einfach genutzt – über zwei Jahre hinweg, von einfachen Korrekturen bis hin zu autonomen KI-Agenten. Jede Phase lehrte mich, was die vorherige nicht konnte. Das Zeitfenster, diese Kompetenz aufzubauen, ist offen. Nutzen Sie es jetzt.

Working agreements: first the team co‑creates a one‑year “super‑team” vision, then defines 5–9 concrete behavior patterns and embeds them into regular NVC‑based feedback cycles.

Are Backlog Items traceable requirements as we know them from requirements engineering or are they something different?

Este artigo explora como muitas organizações ainda gerem pessoas de forma orientada a tarefas, enquanto a nova geração de Inteligência Artificial, especialmente a Agentic AI, já trabalha orientada a objetivos e resultados. Analisa o paradoxo da liderança moderna, compara o modelo tradicional de gestão com um modelo mais focado em valor e autonomia, e reflete sobre a necessidade de uma mudança profunda: de gestão baseada em controlo para uma liderança baseada em confiança, propósito e criação de valor.

A practical guide on what essential AI qualities define next-gen Scrum Masters.

The window of opportunity to build your AI competence is open now, but it will not remain open indefinitely. Start acting.

Decision infrastructure solves time poverty: clear decision rights, decision-ready evidence, and learning capture eliminate coordination waste - freeing analytical capacity for judgment at decision velocity.

La inteligencia artificial (IA) no reemplaza al Scrum Master; puede ser un impulsor para que el Scrum Master logre y maximizar la creatividad y el crecimiento del equipo para entregar valor. Aun con la IA, los Scrum Masters seguirán siendo responsables de facilitar el empirismo, la transparencia y la mejora continua, independientemente de las herramientas de IA que decidan usar. En el siguiente post exploramos como el Scrum Master puede potenciar las autogestión del equipo con la IA.

Product Owners can help manage dependencies through the content and ordering of the Product Backlog. And unfortunately, a lot of them have to spend a lot of time doing this, because their products are defined too narrowly as component teams.

Emergent doesn’t mean “we’ll figure it out later.” It means reality will reveal new work, risks, and misunderstandings continuously—so you’d better make it visible to the team and the people receiving the work.

Agile Praktiker sind mit "Change" vertraut; jeder von uns hat bereits umfangreiche Erfahrungen mit Transformationen gemacht. Das ist unser Vorteil; wir sollten uns nur nicht mehr über die alten Frameworks definieren

To get quality output from AI, you should know how to communicate with it effectively. Let's check 10 ways together.

A manager's guide to elevating business performance with people and AI. This is brand new book will appear on Tuesday February 24, and is written by Alexey Krivitsky, Craig Larman and Roland Flemm.

Scrum is not an end unto itself. It's a great tool for helping a team focus on value, but the goal isn’t to “do Scrum.” The goal is to maximize value for the customer. Choosing the right metrics can help ensure that we are all focused on the right outcomes.

In this article PST Simon Flossmann shares his story of becoming a Scrum Trainer.

In diesem Artikel teilt PST Simon Flossmann seine 3 Lieblingsretrospektiven, wenn Teams nur schweigend in die Kamera starren

In this article, Professional Scrum Trainer Gregory Fontaine explores the impact of AI on software product development, breaking down Dan Shapiro's six levels from "Spicy Autocomplete" to the autonomous "Dark Factory." Discover where the industry stands today, why the next few months will be wild, and essential tools, techniques, and strategies for teams and individuals facing intense competition.

It is February 2026, and your LinkedIn feed oscillates between two narratives. Narrative #1: AI will replace agile practitioners such as Scrum Masters, Agile Coaches, and everyone whose job description includes “facilitate” or “coach.” Narrative #2: Stay calm, get another certification, and wait it out. Both are wrong, and for the same reason

Hiring AI experts doesn't fix organizational DNA. Christensen's RPV shows capabilities migrate to Processes and Values, where 46% of AI pilots die because boundaries block required interaction patterns.

All the first steps you need to know to start your AI journey as a Scrum Master.

The job market for Scrum Masters is under pressure. AI is changing the rules. This article shows you three levers to stay relevant in 2026: make your value visible, sharpen your basics - and focus on what AI can't do.

Der Jobmarkt für Scrum Master steht unter Druck. AI verändert die Spielregeln. Dieser Artikel zeigt Dir drei Hebel, mit denen Du 2026 relevant bleibst: Deinen Wert sichtbar machen, Deine Basics schärfen - und Dich auf das konzentrieren, was AI nicht kann.

Transparency, inspection, adaptation: the trio or the trap?

When time zones kill the Daily Scrum, great teams don’t lose control; they redesign how alignment works. In this blog by PST Robb Pieper, learn what replaces the Daily Scrum in high-performing async teams.

The first in a 6 part series of organizational discovery. By considering the "punctuating events" most commonly experienced in agile practice, we will follow an employee's journey from a chaotic project environment to a new culture of measured and managed innovation. We will see how empiricism can be established under conditions of high uncertainty, and gain an appreciation of the new common sense upon which empirical practices are founded.

Organizations want clarity. They want alignment across teams, better decisions, and the ability to adapt to change without constantly burning people out. But what often happens inside organizations looks very different. In this article, we explore what it means to grow leadership capacity so people can shift from reactive patterns to aligned action.

Das A3-Framework unterstützt Sie bei der Entscheidung, ob KI eine Aufgabe übernehmen sollte (Assist, Automate, Avoid). Der A3-Handoff-Canvas hilft Ihnen, dies ohne Qualitäts- oder Verantwortlichkeitsverlust durchzuführen.

Over the last 18 months, AI has moved from a tech trend to a core capability, and Scrum Masters need to be enablers for this change. That means Scrum Masters need to not only embrace it but also serve as catalysts for it. And that is why Scrum.org released a new course, Professional Scrum Master - AI Essentials. Learn about why we created this course and its outcomes in this blog post.

AI is rapidly transforming the role of Scrum Masters. Those who fail to adapt to this new productivity engine risk becoming obsolete. The PSM-AI Essentials course helps you mitigate this risk.

A good Scrum Master retains something AI is trained to remove - agency.

Teams who have done Scrum training together perform better than those who haven't. It creates a shared language and shared expectations. When everyone understands not just what Scrum is, but why it works, they understand how to work together more effectively.

In software development with fully automated build and test technologies, it is state of the art that a fully tested and documented software product can be built at least once in a Sprint. In the development of mechatronics systems, we encounter longer build and test times and traditionally much longer development cycle times. How does all this fit into a Sprint? In the last blog post we (Jean-Pierre Berchez and Joachim Pfeffer) discussed the definition of an increment. Today it’s all about cycle time: How can we get faster?

A practical guide to effectively evaluate the performance of Scrum Teams + Case Study.

In diesem Artikel teilt PST Simon Flossmann seinen Weg, wie er Scrum Trainer geworden ist

Six Questions That Turn AI Delegation Into a Repeatable Workflow

AI ROI disappoints - we overestimate short-term impact. As with the internet's 1995–2010 trough, winners are now building infrastructure. Punctuated equilibrium: stability, then explosive transformation.

In diesem Artikel beschreibt Mark Rehberg warum Teams so oft am experimentellen Vorgehen scheitern. Die Antwort ist eigentlich gar nicht so weit weg.

AI is rapidly transforming the role of Scrum Masters. Those who fail to adapt to this new productivity engine risk becoming obsolete. The PSM-AI Essentials course helps you mitigate this risk.

Transparency isn’t a Jira board. It’s when everyone reads the same reality from your artifacts. This post shows why low transparency quietly drives bad decisions and risk—and gives you simple checks to spot “multiple meanings”

83 % der agilen Praktiker nutzen KI, jedoch setzen die meisten nur 10 % oder weniger ihrer Zeit dafür ein, da sie nicht einschätzen können, wo der Einsatz von KI sinnvoll ist.

A product roadmap is a high-level visual summary that shows what a product team intends to build to increase transparency. Let's see how AI can enhance the process of building roadmaps.

A first-time Scrum Master experience often begins with resistance. Learn why teams push back, what actually builds trust, and how Scrum works when it solves real problems in PST Robb Pieper’s latest post.

I find that when people start to actually use Scrum, they often forget that they are supposed to be a team. They assign each individual a task or Product Backlog Item, and then that individual goes off and works on it alone.

Scrum Masters (at least in my part of the world) are often people seeking the transition to the role of a ‘Manager’ or a management position. However, when they land into this role amongst a highly technical team, they become clueless. This is because the one thing that they were moving away from became one of the most important aspects of their work - Technology. They have to deal with technology on a daily basis.

The APOM Guiding Principles are introduced as a set of principles to help organizations evaluate their operating models and avoid the trap of "mechanical Scrum" (focusing on mechanics over intent). This blog also addresses the impact of AI, which Dave believes will push organizations toward becoming faster, smaller, and flatter, provided they have a strong, evidence-based product operating model that adheres to the fundamentals: aligning teams to outcomes, enabling frequent delivery and learning, empowering ownership, and removing impediments.

What will you get if you invest your time and money in learning AI?! Let's dissect it.

If AI changes how you build, your Definition of Done should represent it. Let's check how.