Scaled Agile Debuts AI-Native Framework to Govern Enterprise Adoption

Scaled Agile, which serves over 20,000 organizations and 2 million practitioners, developed the new system to address the specific bottleneck of the modern era: validating that AI-driven output is safe and legally compliant. Unlike previous versions, the AI-native iteration introduces the "AI value architect" role, tasking these specialists with balancing productivity gains against ethical, cost, and risk considerations. The framework mandates explicit handoffs between human teams and AI agents, promoting smaller, augmented teams that operate in tighter, iterative cycles.

Andrew Sales, chief methodologist at Scaled Agile, emphasized that the goal is ensuring speed does not come at the expense of quality or security. The new framework sits alongside the existing Core SAFe model, allowing established companies to evolve their current systems rather than replacing them. The company began detailing the transformation of Agile Release Trains and portfolios through a webinar series on June 16, with a comprehensive rollout scheduled for the SAFe Summit in San Diego this September.