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§ Case Study 005 · BI · AI · 2025

CLOUDLAYER

B2B SaaS · ~$60M ARR

005 / 006BI · AICLOUDLAYER
B2B SaaS · ~$60M ARR

Seeing next quarter's cloud bill today.

Before

Finance found out about a $180k AWS overage the day the invoice landed. Engineering swore the spike "must have been the new feature." Nobody could prove it before the board call.

What we built

We built a forecast on two years of their own usage data. It now flags abnormal spend the day it starts — not the month it bills — and ties each spike back to the team and feature that caused it.

After

Finance gets a heads-up two months out, with a named owner. Engineering treats cloud spend as a product metric. The next surprise invoice hasn't happened.

Role
BI · ML
Year
2025
Result
94%Forecast accuracy
BigQueryVertex AIdbtMetabase
You'll recognize this if…
  • Your cloud or SaaS bill keeps creeping up and nobody can explain why
  • Finance and engineering argue every quarter about the variance
  • You want a one-line answer when the board asks "is this under control?"

Sound like
your business?

Tell us where it hurts. We'll come back within 48 hours.

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