Scaled Agile
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Happy Global Running Day. Well, technically it was yesterday, but here we are 😜.
Every elite runner knows: the goal isn't to sprint the whole marathon. It's to find the pace that lets you finish strong.
Enterprise transformation works the same way.
Organizations treating AI adoption like a sprint are burning out their best people, accumulating technical debt, and losing institutional knowledge in the chaos. The ones treating it like a long race — strategic, sustainable, and built on sound principles — are still gaining ground when others are gasping for air.
SAFe's sustainable pace principle isn't a productivity tip. It's a philosophy: the enterprises that build systems for endurance don't just survive disruption. They're stronger because of it.
The enterprises worth building are the ones built to go the distance. 🏃
What a day at 2026 SAFe® and AI Day Government. 🏛️ CEO Steve Matthesen opened to a full house — laying out how Scaled Agile is supporting defense, law enforcement, and civilian agencies as they tackle modernization and AI adoption (and yes, we're officially listed on DOD COOL). The through-line across every keynote: Lean-Agile hasn't been made obsolete by AI. It's become more essential. The same disciplines that have powered mission outcomes for 15 years — alignment, visibility, governance, ex*****on at scale — are exactly what public-sector teams need to scale AI responsibly.
The keynotes delivered real, in-the-trenches lessons. A senior federal law enforcement leader unpacked what it takes to lead from the middle — activating executive sponsorship, mastering the ROAM board, and operationalizing AI with an "always human-in-the-loop" mindset.
Stosh Misiaszek made the case for treating citizen-impacting AI differently from internal-efficiency AI, defining clear kill-switch criteria before deployment, and asking one disciplined question of every system: "Was it worth it for our mission and for our citizens?"
April Davis from the U.S. Office of Personnel Management brought a federal workforce-development lens to AI policy and governance. And Murray Young closed with the Land Information New Zealand story: a 20-year-old national platform modernized from nine-month release cycles to 200+ automated deployments per month, with ministerial reporting simplified to three clear metrics—government agility, in practice.
Threaded through it all was the AI-Native conversation.
Dr. Steve Mayner framed AI's impact on government through our EDGE model, and a Congressional Chief of Staff shared frontline lessons on embracing AI thoughtfully — with privacy and policy front and center. The takeaway that stuck with us: "Becoming AI-Native happens when 'How can AI help me serve better?' becomes the first thing you ask when thinking about how to use AI."
Or, as Dr. Steve put it, "Responsible speed to adopt also needs clear boundaries and actively managing the risks." Ready to put it into practice?
Take the 30 Day AI-Native Challenge. 👇
05/18/2026
🌐 World Information Society Day.
Technology changes fast. The organizations that thrive are the ones that build the human systems to keep up with it.
AI isn't just changing what information we have access to — it's changing who can act on it, how fast, and at what scale.
The enterprises ready for that shift aren't just buying AI. They're redesigning how they work.
There’s a moment when AI shifts from being “interesting” to being empowering.
In this clip, we reflect on the realization that you don’t have to wait on a vendor, a data team, or a long roadmap to create value.
You can own the outcome.
That’s a core part of becoming AI-Native.
It’s not just about using tools.
It’s about recognizing where you can take initiative and drive results yourself.
Watch the video and tell us — when did you first realize AI could change how you personally work?
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