Use case
Stop AI spend at the limit, automatically
Aribot checks AI spend against your billing export hourly and switches off paid AI capacity at the limit, with cloud cost in the same view.
AI spend guardrails that disable paid capacity at the limit, alongside cloud cost — the layer that acts, not just reports
Financial impact of security initiatives
Sample data, not customer resultsIllustrative figures for a sample estate
Replace manual audit preparation with automated evidence collection.
Fix vulnerabilities in code phase to avoid production remediation costs.
Right-size instances and remove unused security groups.
Security spend efficiency (sample data)
Illustrative figures — not customer data
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Month-to-date AI spend read from the billing export, a hard stop that disables paid capacity rather than emailing someone, and cloud cost in the same view.
AI spend (MTD)
—
not measured yet
Hard stop at
—
not measured yet
Paid slots enabled
—
not measured yet
Cloud spend (MTD)
—
not measured yet
No billing data connected. Spend is read from the billing export, so until that is attached there is no figure — an application-side token estimate is not the bill.
Nothing read yet. This is not $0 spend.
GOES IN
Billing export access
COMES OUT
working…
ILLUSTRATIVE SEED DATA — NOT CUSTOMER DATA
GCP billing export
The run above is interactive. This is the same ground walked through on video, if you would rather watch than click.
Other cuts of this
More on the Ayurak AI channel.
When it comes up
AI spend is invisible until the bill arrives, and by then a runaway job has already spent the quarter's budget.
What changes
Spend is checked hourly against the billing export, and paid capacity is disabled at the limit rather than after it.
When it comes up
Budget alerts arrive after the money is gone, because an alert is a notification, not a control.
What changes
The limit disables the paid providers. Work continues on unpaid capacity instead of continuing to spend.
When it comes up
Enabling a spend cap partway through a month that is already over budget would kill everything immediately.
What changes
There is a reporting-only window before enforcement starts, so switching it on is safe.
Why teams use this
Use case
Aribot checks AI spend against your billing export hourly and switches off paid AI capacity at the limit, with cloud cost in the same view.
Case study · Shadow AI · Customer zero
Case study · AI cost · Customer zero
Aribot finds the AI already running in your code and cloud, then puts every agent under least-privilege access with a record your auditors can check.