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Capacity 2: When Capacity Is Ignored Systems Break

A team launches a new initiative with strong planning, capable people, and clear goals. The system looks solid on paper. Roles are defined. Processes exist. The strategy makes sense.

But a few months later, things start to slip. Decisions take longer. Small mistakes appear. Meetings multiply. People feel constantly busy but progress slows.

Nothing obvious has changed about the plan itself. The structure still exists. The talent is still there.

What changed is the amount of pressure placed on the system.

When Capacity Is Ignored, Systems Break

Systems Layer

All systems operate within capacity constraints.

Capacity defines the maximum volume of signals, tasks, decisions, and interactions that a system can process while maintaining stable performance.

The most stable systems are not the ones that demand the most effort —
they are the ones that manage complexity so demand stays within processing capacity.

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