The situation
Finance sees a cost increase but cannot distinguish new customer demand from waste.
Cloud FinOps connects engineering, finance and business ownership around technology spend. An ongoing service maintains the evidence and decisions needed to understand allocation, investigate changes and prioritize action.
Is this right for you?
The cloud bill is visible but teams cannot explain who owns it, why it changed or which engineering actions should follow.
The first conversation establishes the environment, the constraint and who will accept the result. We agree a bounded starting point before expanding the engagement.
Scope
Review billing data, tags and other supported allocation signals; document shared and unallocated spend.
Define showback, unit-economics measures and anomaly triage appropriate to the business.
Assign actions, review trade-offs and verify the effect of agreed changes over time.
Deliverables
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
In practice
The situation
Finance sees a cost increase but cannot distinguish new customer demand from waste.
Our approach
We improve allocation and establish a recurring review linking usage changes to technical owners.
The useful result
The customer receives visible decisions and follow-through, not just a spend dashboard.
Responsibility
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
No guaranteed savings or vendor discounts are implied. Focused architecture and commitment advisory remains a distinct engagement under cloud cost optimization.
FAQ
Technical reading
An assessment identifies opportunities at a point in time. Ongoing FinOps maintains allocation, review and action ownership as workloads and spending change.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
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