Kill your bad ideas or they’ll drain your AI budget
Across cloud, SaaS, and modern AI tools, teams can now move from idea to working prototype in days.
What once required long procurement cycles, heavy engineering effort, and multiple layers of approval can now be assembled with off-the-shelf services and a handful of integrations.
That speed is real, and it is welcome. But it has changed the underlying economics of decision-making in a way most governance models have not caught up with.
When the cost of starting drops, the volume of starts rises. When the volume rises, the cost of being wrong compounds, because misjudged initiatives no longer stay contained inside a pilot.
They spread into systems, workflows, and roadmaps before anyone has a clear read on whether they should exist at all.
The bottleneck has shifted. It is no longer how fast you can build. It is how clearly you can decide what deserves to keep being built.
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