A bill that looked normal on the invoice.
Nobody was reading it line by line. The platform worked, so the bill was just paid.
An enterprise data and research company whose customers include Fortune 500 companies, governments, NGOs and leading universities.
Nobody was reading it line by line. The platform worked, so the bill was just paid.
Our AWS cost audit looked across the whole stack to understand the estate, from cloud accounts to code, pipelines and infrastructure state. Then we read the invoices line by line, not the console summary.
Only $3,778 a year was doing real work.
The tangle that inflated the bill was also slowing the team down. Each finding came with evidence and a ranked plan, agreed before anything changed.
Infrastructure records hadn’t matched production since 2023, and a merge could change production unchecked.Guard restored. The rest documented and flagged.
A retired staging account, three old app environments and an unused workload, all still billing.All removed. One lean production estate.
Every deploy started by hand, and one region’s deploy job had failed 27 of its last 30 runs.Failing job taken out of the release path.
A smaller, documented platform the team understands. Engineers build instead of babysitting.
We removed what wasn’t used, closed the leaks and right-sized the rest, checking every estimate against the next invoice.
Same customers, same workload, and a team building instead of babysitting.
Research and trading platforms where every dollar of cloud spend should earn its place.
Compute-heavy estates where idle capacity and data sprawl add up fast.
Lean teams running deal, portfolio and reporting systems that grew in a hurry.
Platforms built up over years, with costs and risks nobody has mapped.
Like our case-study client: data platforms serving demanding enterprise customers.
Not on the list? If your tech bill has outgrown its value, we should talk.
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