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.
See the implementation roadmapThe AI-Native SAFe Implementation Roadmap
The AI-Native SAFe Implementation Roadmap runs twelve steps across five stages, from the decision to change to an organization that can keep improving itself. Each step names the training that prepares people for the work.
ICON Agility Services coaches organizations through the full sequence: aligning leaders on outcomes, setting priorities, launching AI-Native Agile Release Trains, measuring performance, and amplifying return on investment, with SPCT-certified coaches who can deliver the training and stay through the adoption.
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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.
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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)
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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.
- Leading the AI-Native Organization
- AI-Native SAFe Fundamentals (coming soon)
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Set priorities
4. Enhance the portfolio
Lean Portfolio Management connects strategy, funding, and AI investment decisions to the outcomes leaders agreed on.
- Lean Portfolio Management (coming soon)
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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.
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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.
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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.
- AI-Native Value Architect
- Launching AI-Native ARTs (coming soon)
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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.
- AI-Native SAFe for Teams (coming soon)
- AI-Native Foundations
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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.
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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.
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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.
- AI-Native Trainer (coming soon)
- AI-Native Value Architect
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Amplify ROI
12. Evolve the AI-Native organization
The organization keeps improving its operating model on its own, with advanced practitioners leading continuous learning.
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.
What changes from Core SAFe
From delivery capacity to validated value
AI-Native SAFe is Scaled Agile’s operating model for organizations where AI is already part of how work gets done. It keeps the parts of SAFe that create alignment at scale—value streams, Agile Release Trains, and Lean Portfolio Management—and changes how work moves through them. The assumption is no longer that people do the building and AI sits on the side. Agents and assistants work on the team, which makes output cheap and shifts the real constraint to intent, context, validation, and governance.
That is a different problem from the one Core SAFe was built to solve. Faster delivery only pays off if leaders can tell which work is safe, secure, and worth continuing. AI-Native SAFe is the guidance for that shift: smaller AI-augmented teams, outcome-based planning, and explicit accountability for how AI is used.
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 the model without discarding the SAFe system they already run.
AI-Native SAFe starts from a different bottleneck. Once AI can generate code, tests, specs, designs, and options quickly, the scarce resources become intent, trustworthy context, validation, and governance. The question is no longer mainly “can we build it in time?” but “is what we are building safe, secure, and actually valuable?” Faster output is treated as a risk as much as a gain unless outcomes and human accountability keep up.
| Area | Core SAFe | AI-Native SAFe |
|---|---|---|
| Planning | PI Planning around features | PI Outcome Planning around measurable outcomes |
| Requirements | Features and stories written by people | Intent, specifications, and context that people and AI agents both work from |
| Adapting | Plan, then deliver | Sense and Respond: continuous signals change course mid-PI |
| Roles | RTE, Product Manager, Product Owner, Scrum Master | The same roles with new responsibilities, plus the AI-Native Value Architect |
| Portfolio | Lean Portfolio Management | Lean Portfolio Management with AI investment strategy and return on AI measured as outcomes |
| Governance | Lean governance | Lean 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 modelHow ICON helps
Transformation engagements
From assessment to internal ownership, with a phase-by-phase split of who does what.
See the approachIntroductory offerings
Seven fixed-scope starting points, from readiness assessment to augmentation pilot.
Explore the offeringsFrequently 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.