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Enterprise AI Drift: Why Autonomy Fails Over Time — and the Fabric Enterprises Need to Stay Aligned:
RAKTIM SINGH11 min read·Dec 27, 2025--
Why enterprise AI doesn’t fail at launch — it fails quietly in production as reality changes.
Why this matters now
Enterprises are moving from AI that assists to AI that acts.
As soon as systems can approve, trigger, decide, or coordinate, the failure mode changes.
The problem is no longer “Is the model accurate?”
It becomes “Is the system still aligned as the enterprise, policies, and incentives change?”
This is why enterprise AI drift is emerging as a defining risk of the next phase of autonomy.
The Uncomfortable Truth: Enterprise AI Rarely Fails on Day One
Most enterprise AI initiatives do not collapse because the model was poorly trained or insufficiently intelligent.
They fail because the enterprise changes-and the AI does not change with it.
An agent is deployed.
Early results look promising.
Leaders celebrate early…
