Achieving AI-Empowered Agility
“We are living in an amazing time, but either our organizations learn to harness and control value delivery in the age AI, or it will control us.”
- Mik Kersten, Outputs to Outcomes [1]
Definition: AI-Empowered Agility is the capability to rapidly develop and responsibly deploy AI-driven products and solutions whilst also leveraging AI to continuously enhance the speed, quality, and adaptability of existing Lean-Agile methods.
Summary
The rise of generative AI presents both challenges and opportunities, highlighting a maturity gap where most companies remain stuck in pilot phases. This guidance helps SAFe organizations achieve AI-Empowered Agility, enabling creativity and collaboration. Achieving AI-Empowered Agility requires four critical shifts that amplify Lean-Agile tenets: focusing on Outcomes and Intent; implementing Iterative Learning and Rapid Experimentation Cycles; driving Development and Innovation at Scale; and forming Cross-Functional, AI-Augmented Teams. These shifts are sustained by a Human-Centric AI Culture that treats AI as a human augmentation. AI is used by humans to free capacity to focus on strategy, creativity, and ethical judgment. Human oversight remains the critical final loop for value, safety, and purpose.
What is AI-Empowered Agility?
The exponential rise of Artificial Intelligence, particularly generative AI, presents both a challenge and an opportunity. Despite widespread adoption, a significant maturity gap exists. Approximately two-thirds of companies are stuck with isolated pilots that fail to scale. Treating AI as a one-off initiative rather than a foundational shift to a new operating model leads to fragmented data, tech debt, and workflows that are not designed for an AI-native environment.
In contrast, "Future-Built" companies [2] - the top 5% of the market - have moved beyond the pilot phase. They are ‘AI-Native,’ with their operating model architected around agentic and generative AI tools. The good news is that many organizations already have the necessary foundation: Lean and Agile methods, designed to respond to technological changes such as these. But more is needed. AI-Empowered Agility describes the way of working required to harness this specific opportunity.
This new way of working also requires a Human-Centric AI Culture. One that recognizes that AI's greatest value is not replacement but augmentation, enabling humans to do more creative, empathetic, and strategic work. This means integrating AI agents as full-fledged teammates with defined responsibilities and accountability loops.
This article describes the four critical shifts and the necessary cultural evolution to achieve AI-Empowered Agility and demonstrates how to incorporate these changes into your current SAFe implementation.
What are the four critical shifts to achieve AI-Empowered Agility?
Existing Lean-Agile methods are built around some core tenets. Central to these are:
- A focus on Outcomes: which recognizes that value is delivered only when an objectively measurable outcome has been achieved.
- An Iterative Process: built upon the PDCA (Plan, Do, Check, Adjust). This ensures incremental value delivery and provides a learning opportunity in each increment, improving both the product and processes.
- Practices for Development at Scale: Frameworks like SAFe allow organizations to coordinate and integrate the work of thousands of solution builders across multiple ARTs.
- A Foundation of Cross-Functional Teams: Cross-functional teams cut across traditional silos, creating an empowered, fully autonomous group that can design, build, and deploy together.
These core tenets are not replaced by AI-Empowered Agility; they are amplified through four critical shifts (Figure 1).
Last update: 23 March 2026