
A familiar statistic continues to haunt transformation leaders:
~70% of complex change initiatives fail — missing timelines, overrunning budgets, or failing to deliver business value.
The explanations are familiar too:
So organizations respond by:
And still, the outcome doesn’t change.
Change management is often asked to solve problems it doesn’t control. When organizations aren’t enterprise ready:
Change management doesn’t fix these issues.
It exposes them. It amplifies them. Across the entire organization.
That’s why large change initiatives feel:
Not because change management failed —
but because it was deployed into a system that wasn’t ready to change.
When change struggles, organizations often respond with scale:
But a big project doesn’t create clarity.
It doesn’t stabilize ownership.
It doesn’t align priorities.
It doesn’t resolve structural ambiguity.
It simply makes existing dysfunction visible at enterprise scale.
Change management works best when:
Without those conditions, change management becomes:
Asked to compensate for structural gaps it cannot close.
This is especially visible in digital and AI transformations.
Technology teams are often blamed for:
But technology cannot outrun enterprise unreadiness.
The tech team can’t be effective until:
Change management doesn’t create readiness.
It depends on it.
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