The conversation around AI in software engineering has largely focused on productivity gains. Yet many organizations are discovering that achieving lasting business value requires something more fundamental: a redesign of how software delivery teams operate.
While AI tools can accelerate existing workflows, the greatest opportunity lies in rethinking how software is delivered. Agent-native delivery shifts teams from execution to direction, enabling humans and AI agents to work together through new operating models, team structures and engineering practices.
In this viewpoint paper, we explore why many AI-enabled software development initiatives stall, what separates successful transformations from failed pilots and how organizations can build the capabilities required to scale agent-native delivery.
In this paper, you'll discover:
Why the transition from tool-assisted development to agent-native delivery requires more than technology adoption
How context-first engineering becomes the foundation for reliable, scalable AI-enabled software delivery
The five emerging delivery archetypes shaping agent-native teams
Why behavioral change and cognitive habit formation are critical to transformation success
Practical steps for redesigning teams, governance and workflows to operate effectively with AI agents
How enterprise leaders can evaluate readiness across technical, structural and human dimensions of change
Download the viewpoint
Discover what it takes to move from isolated AI experiments to enterprise-scale impact, and why organizations that act now will define the future of software delivery.