

For decades, organizations have designed and relied on closed loop systems to drive efficiency, consistency, and control. These systems are highly effective in environments where outcomes are known, variability must be minimized, and performance can be measured with precision.
They are the backbone of modern business—but they are not designed to manage everything.
As organizations become increasingly dependent on human capacities—adaptability, judgment, collaboration, and innovation—a different kind of system begins to operate alongside them.
One that cannot be fully controlled, predicted, or optimized through traditional methods.
This is where many organizations encounter friction, particularly as technological advancements reshape how people work, interact, and make decisions.
The same structures that drive performance can begin to limit adaptability when applied to human systems.


Every organization operates with two systems at once: one designed to drive performance through control and predictability, and another required to support adaptability, learning, and innovation. The challenge is not choosing between them, but recognizing where each applies—and designing the organization to sustain both.

Closed loop innovation is designed to optimize performance by reducing variability, reinforcing predictability, and ensuring consistent outcomes. It is most effective in environments where processes are repeatable, risks must be minimized, and efficiency is the primary objective.

Emergent innovation operates by working with variability, enabling new patterns to form through interaction, learning, and adaptation. It is most effective in environments where outcomes cannot be fully defined in advance and where human judgment, creativity, and responsiveness are essentiaL