Organizations were built for scalable output.Not for decisions at this scale.
That gap is where things start to break.
I’ve seen this play out across every stage, from startups and scale-ups to systems at Amazon and Meta. Execution keeps getting faster, but the way decisions get made doesn’t adapt at the same pace.
Misalignment, rework, and drift start to compound.
If this feels familiar
Decisions that should be obvious keep coming back to you. Different teams are solving the same problem in different ways. AI increased output. But coherence got worse.
Nothing looks obviously broken. But things don't add up. This is not an execution problem.
It's a decision system that was never designed for this level of speed.