A European fintech ships often, but every release waits on a slow pipeline and on manual compliance checks that fail late. Here is how we would rebuild the path from commit to production.
Example scenario. This page describes a typical engagement and how we would approach it. It is not a description of a specific client and it contains no client results. The measures below are what we would track, with targets agreed with you up front.
A European fintech team ships often, but each release waits on a slow deployment pipeline and on manual compliance and security reviews that tend to fail late, after the work is done. Releases queue up, engineers wait, and the evidence auditors ask for is gathered by hand.
We would re-architect the pipelines with Terraform, so environments and runners are reproducible, then build the checks into the workflow itself: secrets validated against HashiCorp Vault, container images scanned on every build, and policy checks that fail early, on the pull request. The same pipeline would write the evidence auditors need, mapped to the controls it can cover, such as SOC 2 criteria.
Deployment lead time, from merge to production, and the share of releases that pass the compliance checks without a manual review. We measure both before and after, against a target agreed up front.
Related: our DevSecOps Pipeline and IaC Security Consulting, and the article LiteLLM on PyPI: check your dependencies on supply chain risk.
Tell us how your platform runs today and we will suggest where to start, even if it is a small step.
