34+

Years of Experience

40%+

Fortune 100 clients

60k+

Students Trained

7

SPCTs, incl. 2 SAFe Fellows

What is AI-Native SAFe?

AI-Native SAFe is the newest version of the Scaled Agile Framework from Scaled Agile, Inc. It keeps what works in SAFe, including value streams, Agile Release Trains, and Lean Portfolio Management, and rebuilds how work moves through them on the assumption that AI agents and assistants work on the team alongside people. ICON Agility Services is a Platinum SPCT Scaled Agile Partner. Members of our coaching team attended the AI-Native SAFe Master Class at the 2026 SAFe Summit, and our SPCT-certified coaches help organizations adopt it.

Implementation

The AI-Native SAFe Implementation Roadmap

Twelve steps, in five stages, from the decision to change to an organization that improves itself. Each step names the training that prepares people for it.

AI-Native SAFe Implementation Roadmap: twelve steps from Commit to change to Evolve the AI-Native organization, grouped into Align to outcomes, Set priorities, Launch AI-Native ARTs, Measure performance, and Amplify ROI.
© Scaled Agile, Inc. Used with permission. View roadmap full size
  1. Align to outcomes

    1. Commit to change

    Leaders agree on why the organization is changing, which outcomes it is chasing, and who owns the change.

  2. Align to outcomes

    2. Train Lean-Agile change agents

    A first group of internal change agents learns to implement AI-Native SAFe so the transformation is not run by outsiders.

    • Implementing AI-Native SAFe (coming soon)
  3. Align to outcomes

    3. Train executives, managers, and leaders

    Leaders across the organization learn what changes in their decisions, their teams, and their measures when AI does part of the work.

  4. Set priorities

    4. Enhance the portfolio

    Lean Portfolio Management connects strategy, funding, and AI investment decisions to the outcomes leaders agreed on.

  5. Set priorities

    5. Organize around value

    Leaders identify operational and development value streams, so teams form around how value reaches customers, not around projects or applications.

  6. Set priorities

    6. Prioritize value streams and ARTs

    The organization picks which value streams and Agile Release Trains to launch first, based on value, readiness, and AI opportunity.

  7. Launch AI-Native ARTs

    7. Assess launch readiness and create a plan

    Leaders check each ART for readiness and write a launch plan, including where AI agents and assistants fit into its workflows.

  8. Launch AI-Native ARTs

    8. Implement the critical success factors

    Teams and ARTs adopt the practices that make AI-Native SAFe work, including Sense and Respond and PI Outcome Planning.

  9. Launch AI-Native ARTs

    9. Develop AI workflows and products

    ARTs build and refine AI-enabled workflows and products, feeding what they learn back into the roadmap.

  10. Measure performance

    10. Measure and grow

    Flow, outcome, and adoption measures show what is working, and RTEs and Scrum Masters grow the practices that are.

  11. Amplify ROI

    11. Scale AI capabilities

    Internal trainers and value architects take on more of the work, so AI capability spreads without depending on an outside partner.

  12. Amplify ROI

    12. Evolve the AI-Native organization

    The organization keeps improving its operating model on its own, with advanced practitioners leading continuous learning.

Browse AI-Native courses
The Framework

Core SAFe and AI-Native SAFe, side by side

Switch between the two Big Pictures to see what AI-Native SAFe adds to the framework you may already run.

Core SAFe Big Picture showing the Portfolio, Agile Release Train, and team levels of the Scaled Agile Framework.
© Scaled Agile, Inc. Used with permission. View Core SAFe full size
AI-Native SAFe Big Picture showing how AI agents, AI-Native ARTs, and AI governance extend the Scaled Agile Framework.
© Scaled Agile, Inc. Used with permission. View AI-Native SAFe full size

What changes from Core SAFe

Area Core SAFe AI-Native SAFe
PlanningPI Planning around featuresPI Outcome Planning around measurable outcomes
RequirementsFeatures and stories written by peopleIntent, specifications, and context that people and AI agents both work from
AdaptingPlan, then deliverSense and Respond: continuous signals change course mid-PI
RolesRTE, Product Manager, Product Owner, Scrum MasterThe same roles with new responsibilities, plus the AI-Native Value Architect
PortfolioLean Portfolio ManagementLean Portfolio Management with AI investment strategy and return on AI measured as outcomes
GovernanceLean governanceLean governance with AI governance and ethics built in

Based on Scaled Agile's published AI-Native SAFe materials. Your ICON coach will map these to your current state.

Where to start

Pick the path that matches your role.

Executives and sponsors

Decide whether your operating model should change, and what it takes.

Portfolio and finance leaders

Move from project funding toward value stream funding without losing control.

ART and delivery leaders

Bring AI into PI Planning, ART events, and team workflows.

Practitioners

Get certified in the AI-Native SAFe curriculum.

AI-Native SAFe and the Hyperadaptive™ model

AI-Native SAFe describes the operating model. ICON's Hyperadaptive™ model describes how an enterprise adopts AI at a pace its people, governance, and data can absorb. We use both: the framework sets the destination, and Hyperadaptive sets the pace and sequence.

Explore the Hyperadaptive model

How ICON helps

Transformation engagements

From assessment to internal ownership, with a phase-by-phase split of who does what.

See the approach

Introductory offerings

Seven fixed-scope starting points, from readiness assessment to augmentation pilot.

Explore the offerings

Training

AI-Native SAFe certification from a Platinum SPCT Scaled Agile Partner.

View the catalog

Frequently Asked Questions

AI-Native SAFe is the newest version of the Scaled Agile Framework from Scaled Agile, Inc. It treats AI as part of the operating model instead of a tool added on top. Teams, ARTs, and portfolios plan around outcomes, AI agents and assistants take on parts of the work, and governance for AI is built into the framework.

Core SAFe organizes people around value streams and Agile Release Trains. AI-Native SAFe keeps that structure and changes how work flows through it: intent, specifications, and context replace much of traditional requirements writing, PI Planning becomes PI Outcome Planning, Sense and Respond replaces fixed delivery assumptions, and new roles such as the AI-Native Value Architect appear.

No. The AI-Native SAFe Implementation Roadmap starts from where your organization is. Existing value streams, ARTs, and Lean Portfolio Management carry forward, and the roadmap adds the training, roles, and practices that make them AI-native.

AI-Native SAFe is the operating model. The Hyperadaptive™ model is how ICON helps an enterprise adopt AI at a pace its people, governance, and data can absorb. We use them together: the framework defines where you are going and Hyperadaptive shapes how you get there.

ICON is a Platinum SPCT Scaled Agile Partner and teaches the AI-Native SAFe curriculum as Scaled Agile releases it, starting with Leading the AI-Native Organization, AI-Native Foundations, and AI-Native Value Architect. See the training catalog for current dates.

How ready is your organization for AI-Native SAFe?

Take the free 4-minute AI Transformation Readiness Assessment and get your score instantly.

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