The challenge
The cloud made organisations faster — and costs opaque. Many estates we review carry overprovisioning, forgotten resources and architectural decisions made in a different era. When AI workloads arrive, the pattern amplifies: growing cost, unclear link to value.
At the same time, demands about where data and compute live keep rising. European data sovereignty is no longer an academic question — it is a procurement requirement in both private and public sectors, and it shapes architecture.
Our approach
- Review. We go through architecture, operations and cost structure — and point out the twenty percent of actions that deliver eighty percent of the effect.
- Visibility. Tagging, allocation and reporting so cost is visible per team, service and initiative.
- Governance. Budgets, alerts, right-sizing and automatic clean-up — so the estate stays financially healthy without hand-holding.
- Modernisation where it pays. Serverless patterns, managed services and architecture ready for AI workloads — with data sovereignty and vendor independence as design criteria, not afterthoughts.
We only recommend migration when the numbers say so — and we write the calculation down so it can be challenged.
Frequently asked questions
We don't know what the cloud costs us per initiative. Common?
Unfortunately, yes. Most organisations see a monthly bill — not the link between cost, team and value. The first step in FinOps work is exactly visibility: tagging, allocation and reporting so whoever orders also sees the cost.
Should we repatriate from the cloud, like several are discussing?
Sometimes — but rarely for everything. We calculate on your actual profile: predictable workloads, heavy data egress and strict data-sovereignty requirements can favour own-hosting, while AI workloads and variation often favour the cloud. The decision is better made with numbers than ideology.
How does FinOps relate to AI work?
Directly. AI workloads can be expensive and hard to forecast: model calls, training, vector stores and storage grow fast. With FinOps routines from the start, the unit economics of AI initiatives are visible — before the bill makes them visible.