Gartner just issued a warning that should reshape how every AI professional thinks about the next 18 months:
More than 40% of agentic AI projects are at risk of cancellation by 2027.
Not because the agents don’t work.
Because of what researchers are calling “agent sprawl” — the uncontrolled proliferation of siloed, ungoverned AI agents across an enterprise.
It happens when business units move fast to solve immediate problems with AI, without:
A unifying strategy.
Shared data infrastructure.
Centralized oversight.
Sound familiar?
This is the same pattern I’ve been naming for two years — just at a larger scale.
When I said “most businesses adopt AI backwards — tools first, strategy never” — that was about chatbots and automation workflows.
Now multiply that by autonomous agents that make decisions, take actions, and operate across departments.
Without governance, it’s not just inefficiency.
It’s organizational risk.
The research is clear: the organizations that succeed with agentic AI won’t be the ones with the best agents.
They’ll be the ones with the clearest decision architecture.
Who approves what the agent does?
Who monitors outcomes?
Who escalates when something breaks?
Who owns the 90-day review?
Those aren’t technical questions.
They’re leadership questions.
And they require a governance operating model — not another pilot.
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CTA: Is your organization building controls before it builds agents? Or the other way around?
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