Two in three organizations now spend more than $250,000 a month on AI and 73% say they have AI cost policies in place. Meanwhile, only 47% actually enforce them.
That gap is where surprise bills live. Writing a policy isn't governance. Governance is what happens automatically, before spend happens, the moment a threshold is crossed. This guide was written for teams ready to close that gap: to move from AI cost policies that sit in a document to AI cost controls that act.
In this ebook, you'll find:
- A tiered model for what Recommend, Approve, and Autonomous actually look like inside a real budget
- Why a hard cap only works when it ships with a self-service escape hatch
- How to govern against an efficiency metric instead of a raw spend ceiling
- A reset cadence that makes a breach cheap to catch and easy to recover from
When an AI spend spike hits, 79% of organizations need a full day or longer to trace it to its source and 32% need a full week, while the bill keeps running. The organizations that close that gap don't do it with more dashboards. They do it by building autonomy into the budget itself: enough to act on their behalf, controlled enough that Finance can verify every action it took.
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