AurValdFinOps and cloud cost optimisation — without a full-time FinOps lead.
We help you see where cloud and AI money goes, who owns it and what to change — then put a lightweight operating model in place so it stays under control.
Does this sound familiar?
- Cloud spend is growing faster than revenue or usage.
- An AI line has appeared on the invoice and nobody can explain what drives it.
- Costs aren't allocated to teams, products or customers, so nobody owns them.
- You can't state your cost per customer, transaction or AI request.
- Forecasts are missed and the reasons only surface after month-end.
- Reservations or savings plans were bought without a clear view of usage.
What this means commercially: a cloud and AI bill you can explain line by line, forecast with confidence and connect to revenue — so cost decisions are made before the spend, not after the invoice.
Practitioner-led. Led by an advisor holding the FinOps Practitioner and FinOps: AI Value credentials, with a background in data platform and AI architecture — so cost advice is grounded in how the systems are actually built.
FinOps & Cloud Economics services
Capability assessment
Where you stand against the FinOps Framework, and the few gaps worth closing first.
Visibility & allocation
Tagging strategy, allocation model and showback, so every euro has an owner.
Optimisation
Rightsizing, commitments, idle resources, storage tiers and SKU choices — including Microsoft Fabric capacity.
Unit economics
Cost per customer, transaction or AI request, linked to the numbers your CFO already tracks.
AI cost governance
Model choice, token budgets, caching and usage guardrails — with a cost estimate before an AI feature is approved.
Operating model
Roles, cadences, policies and executive reporting that your team can run without us.
Two ways to engage.
FinOps Rapid Assessment — 2 weeks · Fixed fee, agreed before we start
A fixed-scope Rapid Review focused on this area. You receive:
- Baseline spend report with allocation map and top cost drivers
- Savings opportunities quantified in euros, with effort and owner
- Recommended allocation model and AI cost guardrails
- A 90-day action plan and a leadership read-out
Fractional FinOps lead — monthly retainer
We run the FinOps cadence with your finance and engineering teams — reporting, reviews and decisions — until the capability is embedded in-house.
Related: platform choices set your cost floor — see data & Fabric architecture. AI features carry metered costs — see AI architecture.
Frequently asked
How quickly do savings show up?
Quick wins such as idle resources and rightsizing usually show up within one or two billing cycles. Structural savings take longer because they depend on allocation and ownership being in place.
Do we need a FinOps tool?
Not to start. Your cloud provider's native cost tools are usually enough for a baseline. We'll tell you if and when a third-party tool would pay for itself.
What access do you need?
Read-only billing access or exported billing data is enough for the assessment. We're happy to sign your NDA first.
Do you cover AI and GenAI costs?
Yes. AI usage is metered and often unpredictable, so we include model, token and capacity costs in the baseline and set guardrails for new AI features.
Talk it through with us.
A 30-minute call is enough to tell whether a FinOps Rapid Assessment would be useful — and if it wouldn't, we'll say so.