AI-Native SAFethe whole model, not a SAFe overlay
Lean portfolio, value streams, ARTs, lean budgets, and architectural runway on one governed record. Agents that already know the last PI — and still stop at RTE, PM, and exec judgment.
We Believe
Align knows the PI. Jira knows the tickets—
neither knows the last decision.
Lean budgets live in finance. The runway lives in a diagram. Value streams live on a slide. Agents get briefed from last quarter’s deck. AI-Native SAFe asks for one model those objects already share. Most stacks still fake the pieces.
You run the train. Dotwork keeps PI objectives, dependencies, and capacity on the same graph as the portfolio — so the PI does not start from a war room.
You own epics, strategic themes, and lean budgets. Dotwork keeps funding, value streams, and delivery on one record so LPM is steering, not reporting.
Architectural runway is a portfolio concern, not a side diagram. Dotwork prices the estate against the same epics and budgets the trains already run on.
Every SAFe artifact hangs on the operating model
Not a better SAFe tool. The Direction, Context, Execution, and memory layers — named the way a SAFe enterprise already talks.
Four rooms, SAFe language
Hangs off Steer. Walks the rest of the model so the framework is complete — not a PPM overlay with a chatbot.
Steer — Lean Portfolio
Strategic themes, epics, and the plan of record. Where LPM actually steers.
Strategic themes to funded epics
Walk a theme from portfolio intent to epic without a separate strategy deck and a Jira Align sync.
LPM on a live record
Demand, WSJF, and capacity against strategy — not a quarterly ranking assembled for the LPM event.
PI objectives with provenance
What the train committed, what it deferred, and why — available before the next PI planning.
Portfolio Kanban without a side system
Funnel to analyzing to implementing, on the same graph as spend and delivery.
Context — value streams and capabilities
What the business must do well, and where value is realized — SAFe’s operational backbone.
Development value streams
Value streams are capabilities and flow, not a process map taped to Jira projects.
Operational value and outcomes
Epics connect to the capability they strengthen, not only to the ART that pulled them.
ARTs as a staffing of the stream
Trains sit on the stream. The stream does not sit on the train’s tool.
Dependencies across trains
See what a slip hits across ARTs and suppliers before it becomes a PI surprise.
Govern & Fund — ARTs, runway, lean budgets
How it is delivered and what it costs — in the same model as the epic.
Architectural runway, priced
Enablers and the estate live next to the epics they unlock. Target state has a cost.
Lean budgets and guardrails
Teams help shape the budget using real, finance-matched numbers — not a cost report that arrives after the planning increment ends.
Capacity of people and agents
ART capacity includes the agents that will do work. Gaps show up before planning is locked.
AI on the graph
What agents run on the train, who may reach them, and whether the control is evidenced.
Decision memory — Inspect & Adapt that compounds
The next PI starts from what you already decided. Agents look around corners. You still judge.
I&A on a record
Expected PI outcomes beside what happened. The improvement item is not a sticky that dies.
Look around corners
Drift on an epic, a guardrail, or a dependency surfaces before the next System Demo.
Agents assemble the next PI
The model drafts the plan, the risks, and the alternatives. RTE and PM still commit.
Stop at judgment
No autonomous portfolio. Recommendations land on a human who owns the call.
Why AI-Native SAFe does not fit in Align, Jira, or a copilot
The only model that can fully support it
AI-Native SAFe needs portfolio, value streams, ARTs, lean budgets, runway, and memory on one governed graph. A PPM overlay plus a chatbot can fake the ceremony. It cannot hold the object.
Not another SAFe tool
Dotwork is the decision layer the framework sits on. Delivery tools stay. The reconstruction between them goes.
Agents that already know the last PI
They read the record — themes, epics, budgets, runway, and the why. They do not get briefed from a slide, and they do not take the decision.
Designed by Product Leaders, For Enterprise Results
“I've watched brilliant product organizations hit walls not because of bad strategy, but because their operating models couldn't scale with their ambitions. The companies that thrive at scale don't just plan better—they've built operating models that evolve in real-time. Dotwork makes that evolution continuous rather than episodic. It's the difference between reshaping your organization quarterly versus adapting it daily.”
John Cutler
Systems Thinker, Head of Product at Dotwork
“I'm amazed by how Dotwork handles organizational complexity. I've watched companies struggle as they scale from high-growth to enterprise, but Dotwork can grow seamlessly with them. Whether you're managing 15 teams or 1,500, the strategic clarity never gets lost. It's refreshing to finally see an answer to both flexibility and autonomy.”
Barry O'Reilly
Co-Founder of Nobody Studios, Author of Lean Enterprise and Unlearn
“That's exactly what excites me about Dotwork—it's designed for the reality of modern product development. When portfolio priorities shift overnight, teams using Dotwork stay aligned and keep moving forward. It's brilliant how the platform evolves with strategy changes instead of fighting against them. Context for AI will be the second part of this story that will change everything.”
Cullen Childress
Chief Product Officer at SolarWinds
“After years of watching companies force-fit their processes into rigid platforms, Dotwork is a breath of fresh air. It molds how organizations actually work—their unique planning rhythms, stakeholder needs, and decision-making styles. The platform becomes an extension of the business rather than a constraint. That kind of adaptability is what separates truly transformational platforms from the rest.”
Greg Stock
CEO at Zenoss
Early Adopter Results:
“PI planning stopped being a reconstruction. The train walked in with the last decision still on the graph.”
— Release Train Engineer, Global Industrial
“Lean budgets finally sat next to the epic. Finance and the LACE were looking at the same number.”
— Lean Portfolio Lead, Enterprise Technology
Proven Results:
See the model AI-Native SAFe actually requires
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