SAFe Agilist: flow, portfolio, and AI-supported decisions
Prepare SAFe Agilist knowledge through flow, PI Planning, quality, portfolio, and responsible AI use in technical and operational scenarios.
Objectives and progression
Seven lessons, 36 regular questions, five cases, and an internal assessment of 26 decisions in 45 minutes. Editorial allocation follows the six AI-Empowered SA guide groups with 3/8/4/10/8/3 questions. Ranges published in that guide: 7–9%, 21–23%, 10–12%, 25–28%, 21–23%, and 7–9%, in domain order. These are not exact weights or a guarantee of full coverage. Current official sources disagree on weight ranges for three domains. This path provisionally follows the dedicated AI-Empowered SA guide dated May 27, 2026; reconciliation with the certification page remains pending. Exact current exam languages also need confirmation.
Audience: Technical managers, team leaders, APS professionals, and participants in cross-team and portfolio coordination.
Prerequisites: Basic Agile and Scrum knowledge is recommended. The current official page allows purchasing a proctored exam route without course attendance; the training-associated route has its own conditions. Confirm the route with Scaled Agile. DR is not accredited training and includes neither an exam nor automatic eligibility.
255 estimated study minutes
- Distinguish integrated outcomes from local efficiency and transformation activity.
- Use evidence, options, and decision boundaries to respond to uncertainty.
- Build integration and operational evidence during development.
- Connect economic choices with capacity and coordinated objectives.
- Use system and operational feedback to adapt flow.
- Connect initiatives to strategy and govern investment through learning.
- Retain authority and evidence in investment and organizational-improvement decisions.
Modules
- Value, flow, and the system view
- Economic decisions and learning
- Quality and shared technical capability
- Priorities, dependencies, and PI Planning
- Integrated execution, release, and improvement
- Portfolio, hypotheses, and funded capacity
- Governance, AI, and change leadership
Continue learning
References and version
AI-Empowered SA; official study guide May 27 2026; current product page publishes different ranges in three domains
- AI-Empowered SA exam study guide · 2026-09-29
- AI-Empowered SAFe Agilist certification · 2026-09-29
- SAFe 6.0 Agilist study guide · 2026-09-29
- Proctored Exams FAQ · 2026-09-29
- SAFe Lean-Agile Principles · 2026-09-29
- PI Planning · 2026-09-29
- PI Objectives · 2026-09-29
- Weighted Shortest Job First · 2026-09-29
- Built-In Quality · 2026-09-29
- Continuous Delivery Pipeline · 2026-09-29
- Lean Budgets · 2026-09-29
- Lean Budget Guardrails · 2026-09-29
- Portfolio Backlog · 2026-09-29
- Inspect and Adapt · 2026-09-29
- Artificial Intelligence in SAFe · 2026-09-29
- AI Governance and Ethics · 2026-09-29
What you will explore
0 / 7Value, flow, and the system view
Distinguish integrated outcomes from local efficiency and transformation activity.
Economic decisions and learning
Use evidence, options, and decision boundaries to respond to uncertainty.
Quality and shared technical capability
Build integration and operational evidence during development.
Priorities, dependencies, and PI Planning
Connect economic choices with capacity and coordinated objectives.
Integrated execution, release, and improvement
Use system and operational feedback to adapt flow.
Portfolio, hypotheses, and funded capacity
Connect initiatives to strategy and govern investment through learning.
Governance, AI, and change leadership
Retain authority and evidence in investment and organizational-improvement decisions.