But what does this actually mean for companies?
AI-Native SAFe isn’t just SAFe plus a few AI tools.
It’s about a fundamentally different question: How must an organization operate when AI drastically changes the speed of development and implementation?
Because as AI becomes capable of generating output faster and faster, output alone becomes increasingly less meaningful. What matters most is whether the right things are being built and whether this actually results in relevant benefits for customers and the company.
This is precisely why AI-Native SAFe places a stronger focus on “outcomes.” Strategy, portfolio, ARTs, and teams should be more consistently aligned with the results to be achieved—not just with how much is delivered.
At the same time, teams, roles, and collaboration are changing. AI-Native teams combine product, domain, and AI expertise. AI-Native ARTs work in a more outcome-oriented manner and require new forms of governance. And despite all the automation, one thing remains central: human expertise, judgment, and responsibility.
As AI-Native SAFe SPCTs, Niko and Kurt not only bring this understanding to the table in theory, but they can also guide organizations in understanding the new principles in practice and applying them to their specific situations.
For us at KEGON, this is an important step: AI isn’t just changing technology. AI is changing the way organizations create value.
And that’s exactly what we’ll be talking about a lot in the coming months.
Congratulations again, Niko and Kurt! 🧡
