Scaled Agile

Thousands of employees watch the same prompt engineering videos, earn the same certifications — and return to work largely unchanged.

Sound familiar?

In his new Forbes Technology Council article, our Chief Product Officer & Chief Methodologist, Andrew Sales, names the hidden risk in enterprise AI training: it's built to feel productive, not to be transformative.

Certifications are a starting point, not a destination. Tools training produces individuals who can use AI — not teams that can deliver AI value at scale. And if you're tracking course completions instead of behavioral change, you're not measuring what determines success.

The organizations that lead in the AI era will treat AI adoption as a chance to change how the organization works — not as a learning management problem. That thinking has guided us for 15 years. AI just raised the stakes.

Read Andrew's full article: https://bit.ly/4vJ1HUL

Why Most AI Training Programs Fail To Realize Value Most AI training programs are designed to feel productive rather than to be transformative.

Happy World Environment Day.

Sustainable ecosystems don't thrive by extracting everything as fast as possible. They thrive through balance — input and output, growth and renewal, pace and rest.

Organizations work the same way.

SAFe's sustainable pace principle wasn't written with the environment in mind. But the logic is identical: systems that operate within their natural capacity, that allow for renewal and reflection, outlast and outperform the ones that don't.

As enterprises embed AI into their operating models, that principle becomes even more critical. Automation creates capacity. What you do with that capacity — whether you reinvest it in your people or just compress timelines further — determines whether your transformation holds.

Build sustainable systems. Inside and out. 🌱

Amsterdam wasn't the finale. It was the warm-up.

The SAFe+AI Summit lands in San Diego this September — and if Amsterdam taught practitioners anything, it's that the work of scaling agility doesn't get easier in the AI era. It gets more essential.

The leaders and practitioners walking out of these rooms aren't the same ones who walked in. They're the ones who stopped asking how AI fits into their existing process and started asking how their operating model evolves to amplify what AI makes possible.

That's what AI-Empowered SAFe looks like in practice.

Here's what's coming to San Diego:
→ Two days of keynotes from practitioners actually doing the work, not just theorizing about it
→ AI-Native Foundations class for teams ready to operationalize what they learn
→ Partner & SPCT Day for the community shaping how this rolls out at scale
→ Lightning Talks where attendees take the mic 🎤

Super Early Bird closes May 29—the lowest price you'll see between now and the doors opening. After Friday, it's gone.

🔐 Lock it in: https://bit.ly/4v08Boi
Tag a practitioner who needs to be in that room.

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. 👇

🌐 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.

Scaled Agile CEO Steve Matthesen kicked off SAFE Day Gov 2026, speaking to a full house about SAFe-specific guidance that supports defense, law enforcement, and civilian agencies, helping them tackle modernization and AI initiatives.

The AI transformation conversation often centers on technology.

But the people driving it forward?

They're educators, coaches, and change-makers.

This Teacher Appreciation Week, we're honoring the humans behind the transformation — the ones helping organizations not just adopt AI, but actually understand it, engage with it, and use it as a thought partner in the way it was meant to be used. 🙏

Tag a learning leader who's making a difference in your organization.