Upcoming

Launching AI-Native ARTS (LANA) Nov 09, 2026 - Nov 10, 2026 (CST) (Online) (English)

$ 1497 usd
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Mon, Nov 9, 2026, 9:00 AM CST – Tue, Nov 10, 2026, 5:00 PM CST
CST Time Zone, United States Map
Launching AI-Native ARTS (LANA) Nov 09, 2026 - Nov 10, 2026 (CST) (Online) (English)

AI is changing more than the tools teams use. It’s changing how organizations plan, build, learn, govern, and deliver value.

For organizations already using SAFe, the question is no longer simply “How do we add AI?” It’s “How do we evolve the way our ART operates for an AI-driven world?”

That’s what this course is designed to help you do.

In this two-day, highly interactive course, you’ll learn how to launch a new AI-Native ART or evolve an existing ART for AI-driven execution. You’ll assess your current readiness, explore the critical shifts required by AI-Native SAFe, and build an actionable launch plan you can take back to your organization.

This isn’t just an introduction to AI-Native SAFe. You’ll work through how roles, teams, planning, governance, product development, and execution need to evolve—and what that means for your ART.

You’ll leave with a clearer picture of where you are today, where you need to go next, and a plan for getting there.


What You’ll Learn (and actually work through)

  • Assess whether your ART is ready for AI-Native execution
    Use the AI-Native ART Launch Readiness Assessment to identify gaps in your current Lean-Agile execution and establish a practical starting point for your transition.
  • Move from outputs to outcomes
    Explore how AI-Native SAFe changes the way ARTs connect strategy, product development, and cross-team execution to measurable business and customer outcomes—not simply more output.
  • Evolve teams, roles, and ways of working for AI
    Learn how AI-Native ARTs and AI-augmented teams operate, including the emerging AI Value Architect role and the changes needed to support faster, AI-driven execution.
  • Rethink planning for faster learning and experimentation
    Work with Product Vision and Roadmaps, PI Outcome Planning, and Sense and Respond events to create shorter learning loops and help the ART adapt as conditions and AI capabilities change.
  • Build responsible AI into the way the ART operates
    Explore shared AI governance, data security, ethical safeguards, and human oversight so teams can move quickly without creating unnecessary risk.
  • Build an actionable AI-Native ART launch plan
    Bring everything together into a concrete plan for launching a new AI-Native ART—or relaunching an existing ART around AI-Native ways of working.

What Makes This Course Different

A lot of AI training focuses on tools.

This course focuses on how the system of work needs to change when AI becomes part of how the organization operates.

AI-Native SAFe builds on the Lean-Agile foundation you already have, but evolves it for an environment where teams can experiment faster, AI can augment work across the ART, and organizations need to learn and respond much more quickly.

The course combines:

  • The 12 critical success factors of AI-Native SAFe
  • Practical assessment of your current ART
  • New approaches to outcomes, teams, planning, experimentation, and governance
  • Hands-on development of your own AI-Native ART launch plan

The goal isn't simply to understand AI-Native SAFe.

It’s to leave knowing what you need to do next.


Topics We’ll Work Through

  • The four Lean-Agile shifts and 12 critical success factors of AI-Native SAFe
  • AI-Native ART Launch Readiness Assessment
  • Outcome-Driven Product Development
  • Portfolio outcomes and investment strategy
  • AI-Native ARTs and AI-augmented teams
  • The AI Value Architect role
  • Product Vision and Roadmaps
  • PI Outcome Planning
  • Sense and Respond events
  • Iterative learning and rapid experimentation
  • AI-Native Intent, Specifications, and Context
  • The AI Innovation Pipeline
  • AI governance, ethics, and responsible AI
  • Creating your AI-Native ART launch or relaunch plan

Who Should Attend

This course is especially valuable for people responsible for leading or enabling change across an ART, including:

  • SPCs and RTEs
  • Product Managers
  • Agile Leaders
  • Leaders and change agents responsible for AI adoption and transformation

Everyone is welcome to attend, but Scaled Agile recommends experience working in a SAFe environment, core knowledge of Lean-Agile principles, and completion of the AI-Native SAFe upgrade.


What You Get

  • Two full days of interactive, instructor-led training
  • Course companion app and course materials
  • One year of access to SAFe Insider, including the SAFe Framework, SAFe CoPilot, and select SAFe Connect Forums
  • Eligibility to earn the SAFe AI-Native ART Leader certification
  • Access to additional SAFe learning resources and community benefits after certification
  • Eligibility for 15 PDUs toward applicable PMI continuing education requirements and potential SEUs through Scrum Alliance

The certification exam is 45 questions with a 90-minute time limit and an 80% passing score.


Why It Matters

AI doesn’t just make existing work faster.

It changes what teams can do, how quickly they can learn, how decisions get made, and how organizations turn ideas into outcomes.

Organizations that simply add AI tools to existing ways of working may get incremental improvements. Becoming AI-Native requires something bigger: evolving the operating model around the capabilities AI makes possible.

If your organization already uses SAFe, you have a Lean-Agile foundation to build on. This course helps you turn that foundation into an engine for AI-driven execution.

You’ll leave better prepared to:

  • Identify what needs to change in your current ART
  • Connect AI investments to measurable business and customer outcomes
  • Enable teams to experiment, learn, and adapt faster
  • Put responsible AI governance into practice without turning it into a bottleneck
  • Build a practical path for launching or relaunching an AI-Native ART

The goal isn’t AI adoption for its own sake. It’s building an ART that can use AI to deliver better outcomes, learn faster, and continuously adapt.

Instructors

Phil Gardiner

Executive Consultant and SAFe Fellow

Contact us

Location

CST Time Zone, United States

Classifications

Categories
  • Phil Gardiner
  • Launching AI-Native ARTs