AI-Native SAFe
AI-Native SAFe is the operating model for the Age of AI. It is a systemic capability, built on a foundation of Lean and Agile, achieved via a strategic shift from merely doing AI to becoming AI-Native.
AI-Native SAFe Webinar Series
Introducing the AI-Native SAFe Big Picture
Our first session introduces AI-Native SAFe as the operating model for the AI-Native organization.
Achieving AI-Empowered Agility
AI-Empowered Agility is an evolution in Lean and Agile methods. It unleashes human agency and competitive differentiation through four critical shifts: shifting human effort from execution to intent and strategy, accelerating learning and experimentation cycles, unlocking innovation at scale, and augmenting teams with AI capabilities. This evolution in Agility is sustained by a Human-Centric AI Culture, ensuring that human judgment remains the final, non-negotiable loop for value, safety, and purpose.
Outcome-Driven Product Development in AI-Native SAFe
In the age of AI, organizations must transition to an outcome-driven model using the AI-Native SAFe approach, which aligns strategy from the portfolio level down to individual teams. By tracking outputs against shared OKRs through an “outcome tree,” this framework creates a feedback loop based on real-world results rather than assumptions. Ultimately, by calibrating ambition through “Moonshots” and “Roofshots,” it empowers teams to make autonomous daily decisions that remain firmly aligned with the organization’s overarching vision.
Introduction to Artificial Intelligence (AI)
Artificial Intelligence (AI) has numerous applications that affect various aspects of business and consumer life. Many AI systems use Machine Learning (ML) to autonomously improve through experience and data. However, some AI architectures rely on static rules for complex reasoning, while others, like Generative AI, are based on Deep Learning and neural networks.
AI-Augmented Workforce
An AI-augmented workforce is a work environment where employees use AI to automate repetitive tasks, improve quality, and boost productivity. AI enhances human capabilities rather than replacing them, allowing individuals to focus on creativity, judgment, and teamwork. These benefits are achieved when employees have the authority, resources, and training to leverage AI for innovation and problem-solving.
Responsible AI
Artificial Intelligence (AI) offers many advantages for companies, but it also carries significant risks. Organizations using or developing AI must adopt guidelines and practices to mitigate these risks. Responsible AI ensures that AI does not harm individuals, companies, or the environment. This article discusses Responsible AI and how certain SAFe practices can help companies use AI responsibly and effectively.
Courses for Individuals and Organizations
Stay future-ready with globally recognized SAFe certifications.
Gain confidence in your daily use of AI and become AI-Native.
AI-Empowered SAFe Skills
SAFe Skills represent the future of learning with Scaled Agile – learning meticulously designed to bridge the gap between guidance and practice, providing bite-sized, actionable insights in a format that fits your calendar.
AI-Empowered SAFe Assessments
Each SAFe Discipline has an associated AI-Empowered SAFe assessment in the Comparative Agility online assessment tool. SAFe CoPilot is integrated into each assessment, resulting in specific suggested next steps. Additionally, the SAFe business agility assessment is meant for business and portfolio stakeholders to evaluate their progress in achieving true business agility.
Last Update: 23 March 2026