Cloud spend rarely jumps because of one obvious mistake. It accumulates through architecture decisions, workload growth, unused capacity and configurations nobody has had time to revisit. This audit gives you an independent, fixed-scope view of where the money is going and what is realistically worth changing.
Your AWS, GCP or Azure bill has grown — but so has the engineering backlog. Cost optimisation gets discussed and dashboards get checked, but nobody has time to work through the estate and separate meaningful savings from theoretical ones. We do that investigation and turn it into an implementation-ready set of decisions.
This is not another cloud monitoring product that needs installing and maintaining, and it is not a free assessment designed to move your cloud contract onto a reseller.
The audit is the service — independent, fixed-scope, and built to leave you with a useful deliverable rather than an ongoing dependency.
No billing migration, no managed-service commitment, no retainer required.
case example
Our technical co-founder spent nine months on a cloud cost and data programme at Lebara, a UK telecom, working as a contractor on their platform. The programme included a hands-on Databricks-versus-Synapse comparison to establish the most cost-effective architecture, alongside rebuilding brittle, monolithic pipelines on Azure Data Factory and Synapse using a Data Mesh approach.
Outcome:
Cloud cost is rarely understandable from a billing export alone. Architecture, workloads and engineering trade-offs have to be read together — which is what this experience brings to the audit.
Not sure you can trust the data behind your numbers?