LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
Exploring the impact of GenAI in our organizations & creating business impact through technology leadership.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Just as physical jerk throws our bodies off balance, technological jerk throws our mental models and established workflows into disarray when software changes too abruptly or without proper preparation.
Sure, vibe coding makes you code faster—that’s the obvious selling point. But if you think speed is the whole story, you’re missing out on the juicy stuff.
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
A Guide for Disruptors and Their Enablers
In an era where AI capabilities advance monthly rather than yearly, mid-level enterprise leaders face an impossible choice: move fast and risk catastrophic failure, or move cautiously and become obsolete. This paper cuts through this false dilemma with a practical framework that lets directors, managers, and team leads modernize their organizations without sacrificing stability. Drawing from real-world case studies and battle-tested strategies from companies like OpenAI, John Deere, and GitLab, this guide shows how to raise both the floor and ceiling of organizational performance through deliberate disruption.
The paper centers on Elena’s transformation story—a newly minted IT director who navigates conflicting executive demands while building a bridge between bold AI vision and operational reality. Through seven core principles for strategic disruption, readers learn how to compress innovation cycles into 90-day sprints, create safe experimentation sandboxes, and build coalitions that turn skepticism into momentum. Rather than choosing between speed and safety, leaders discover how to make rapid adaptation a repeatable organizational capability that compounds over time.
This isn’t theoretical advice—it’s a step-by-step playbook for turning technological disruption from an existential threat into a renewable, competitive fuel. Whether you’re leading IT transformation, operations modernization, or cross-functional innovation initiatives, these principles provide the framework to modernize teams, secure executive buy-in, and position yourself as the architect of change rather than its casualty.
Seven proven principles for navigating enterprise AI transformation safely.
Compress innovation timelines without sacrificing operational stability or governance.
Turn organizational skeptics into change agents through strategic proof points.
Position yourself as transformation leader while avoiding technological displacement.
Joe Beutler is a former software engineer who left Wall Street to start a food‑tech company, led customer success at a chat‑ops startup, architected global payments at Stripe, and now head the Solutions Engineering team for strategic accounts at OpenAI. When he’s not shipping multimodal AI demos, he’s grinding up East Bay single‑track or vibe coding side‑projects like Turtl, his one‑click photo enhancer for Airbnb hosts. Joe loves simplifying gnarly technical problems, coaching teams, and proving that a week‑off “hack‑cation” can change the roadmap.
Amy Willard is an IT Director leading John Deere’s Agile Operating Model transformation. Amy has over twenty years of experience working in technology across multiple product segments and technology stacks. Her passion is helping John Deere transform how we work through focusing on Agility, Developer Experience, Technology Modernization, Quality, Technology Business Management, Product Management, and User Experience.
Chris Blackburn is the CEO and founder of Liatrio, an AI-first technology consultancy that helps large enterprises modernize how they build, deliver, and operate software. He founded Liatrio with one clear goal: to help the largest and most complex organizations work smarter, faster, and more efficiently. He believes modernization starts with a people-first mindset, giving teams the clarity, skills, and systems they need to thrive in a fast-changing environment. Chris works with leaders who are ready to break old patterns, experiment boldly, and move with urgency.
Michelle Gill is an accomplished technology leader with over twenty-five years in application development and more than a decade leading high-performing engineering teams. Her career has spanned diverse industries, including payments, medical, automotive, and education—where she discovered her passion for DevOps as VP of Linux Academy, a cloud-training platform which helped change lives by teaching DevOps practices. Since 2012, she has focused on building and scaling engineering organizations, where she experienced firsthand the transformative power of modern development practices. For the past six years, she has driven engineering excellence and organizational transformation at GitLab, a leading DevOps platform company, overseeing AI, ML, Data Science, Platform Engineering, and Feature Development teams.
Ben Grinnell is Managing Director and Global Lead of the Technology and Digital Service Line at North Highland, where he has spent over twenty years specializing in digital transformation for large organizations across public and private sectors. With extensive experience in next-generation IT, DevOps, Agile, and Lean methodologies, Grinnell has led major technology initiatives spanning government, health, education, and transport industries. He previously served as interim IT Director at the UK Border Agency, where he built internal IT capabilities and restructured major outsourced contracts. Grinnell holds a BSc in Mathematics and Computing from Loughborough University, completed PhD-level research in predictive control algorithms, and currently serves as a Non-Executive Director at Decentenergy.io.
