FinOps service

Control cloud and AI cost without trading away quality or reliability.

We combine billing, architecture, workload behavior, and business demand. The result is a clear view of AWS spend and AI unit economics, a prioritized optimization plan, and a FinOps rhythm that helps engineering, finance, and leadership make better tradeoffs.

What this work should improve.

Every engagement is tied to visible operational or business improvement—not technology activity alone.

01

Visible spend

Create reliable allocation, ownership, trends, forecasts, and unit economics where data permits.

02

Realized savings

Prioritize and implement optimization actions with owners, validation, and impact tracking.

03

Durable cost control

Embed budgets, anomaly detection, architectural review, and regular decision forums.

The capabilities behind the outcome.

The exact scope is shaped around your estate, constraints, and team. These are the core capabilities we combine.

01

Cloud and AI cost baseline

Analyze billing, usage, allocation, commitments, model and token consumption, anomalies, growth, and workload context.

02

Optimization engineering

Right-size compute, storage, databases, data transfer, model routing, caching, elasticity, scheduling, and architecture.

03

Commercial optimization

Model commitment and licensing options against demand stability, risk, and operational plans.

04

FinOps operating model

Define ownership, tagging, budgets, forecasts, KPIs, review cadence, and decision rights.

A clear fit before you commit.

Organizations with rising or unpredictable AWS spend, unclear ownership, unused commitments, weak allocation, recurring cost anomalies, or optimization recommendations that have not translated into realized savings.

Working capability, evidence, and a clear handover.

  • Trusted spend, allocation, utilization, and commitment baseline
  • Prioritized opportunities with assumptions and confidence
  • Implemented changes with health and savings validation
  • Budgets, forecasts, KPIs, ownership, and FinOps review cadence

A practical path from evidence to improvement.

Each stage ends with a decision, working capability, or measured result. Your team stays involved throughout.

  1. 01

    Baseline

    Establish trusted spend, ownership, trends, demand, commitments, and constraints.

  2. 02

    Prioritize

    Rank savings by confidence, effort, risk, dependency, and expected time to value.

  3. 03

    Realize

    Implement approved changes, verify service health, and measure savings against the baseline.

  4. 04

    Govern

    Operationalize allocation, forecasting, anomaly response, and recurring optimization.

How our delivery model differs.

A focused point engagement can be the right choice. CloudVests is designed for work that must connect evidence, implementation, and operating responsibility.

AreaCloudVests approachTypical point engagement
AnalysisBilling, architecture, performance, and business demand togetherBilling export and generic recommendations
SavingsTracked from recommendation through implementation and validationPotential savings reported once
TradeoffsReliability, performance, delivery, and commercial risk assessedCost reduction considered in isolation
Operating modelShared engineering, finance, and leadership accountabilityPeriodic procurement exercise

Review the evidence behind our work.

Explore client outcomes, AWS credentials, and practical guidance before deciding what comes next.

Questions teams ask before starting.

Have a question specific to your environment? We can review it with the right engineering specialist.

Ask CloudVests
How much can we save?

Savings depend on architecture, utilization, growth, commitments, licensing, and prior optimization. We establish a defensible baseline and present opportunities with assumptions and confidence rather than promising a generic percentage.

Will cost optimization reduce performance?

It should not reduce agreed service outcomes. We review performance, capacity, resilience, and demand before change, use controlled implementation, and validate health after optimization.

Do you only provide recommendations?

No. CloudVests can assess, implement approved changes, validate realized impact, and establish ongoing FinOps governance with your engineering and finance teams.

Can ArchMate help with cost optimization?

Yes. ArchMate can surface architecture and cost opportunities consistently. CloudVests engineers validate those findings against workload behavior and business constraints before recommending implementation.

What access is required for a cost assessment?

We normally begin with approved read-only access to billing, cost allocation, utilization, commitments, and relevant architecture information. Access is minimized to the agreed scope, and sensitive exports are handled according to the client’s security requirements.

Tell us what needs to change.

Tell us about your priorities for Cloud & AI FinOps. We’ll bring the right specialists to define a practical next step.

Discuss Cloud & AI FinOps