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FinOps and cost control

Control cloud and GPU spend without slowing AI teams down

Visibility, budgets, right-sizing and commitment planning for AWS and Azure, so AI innovation stays inside budget.

Enterprise-grade securityNamed engineersAWS and Azure expertise
how it worksFinOps and Cost Control
Spend by team, project and model against budget

FinOps and cloud cost optimisation for AI and enterprise workloads

FinOps brings engineering, finance and business together to manage cloud spend. Xpecto Cloud sets up cost visibility by team, project and model, enforces tagging, budgets and alerts, right-sizes resources, schedules expensive GPU capacity and sizes savings plans from real usage on AWS and Azure.

Problems we solve

Our cloud bill grows faster than our revenue.
Cost visibility by team, project and model with monthly reviews.
GPUs sit idle between experiments.
Scheduling, auto-shutdown and spot capacity where safe.
Nobody can explain the bill.
Tagging and allocation so every rupee has an owner.
Commitments are bought blindly.
Reserved capacity and savings plans sized from real usage.

What you get with FinOps and Cost Control

Cost visibility

Dashboards by team, project and model.

Tagging and allocation

Every resource has an owner.

Budgets and alerts

Warnings before limits are hit.

Right-sizing

Resources matched to real use.

Commitment planning

Savings plans and reservations.

GPU scheduling

Share and schedule expensive capacity.

Waste clean-up

Idle and orphaned resources removed.

Monthly FinOps reviews

Cost, performance and risk in balance.

Who FinOps and Cost Control is for

Enterprises with growing cloud bills

Finance and engineering working together.

AI teams

Teams with expensive GPU workloads.

Platform teams

Teams that provide cloud to many projects.

How we set you up

A structured path from first conversation to a secure, running platform, with your teams involved at every stage.

Baseline your spendWe collect cost data and tag resources so every team and project is visible.
Find the wasteWe identify idle GPUs, oversized servers and unused storage.
Set budgets and guardrailsBudgets, alerts and quotas keep spend inside agreed limits.
Optimise commitmentsSavings plans and reservations are sized from real usage.
Review monthlyRegular FinOps reviews keep cost, performance and innovation in balance.

FinOps and Cost Control: before and after

Unmanaged spendFinOps by Xpecto
VisibilityOne big billCost by team, project and model
WasteIdle GPUs and orphaned storageScheduled, cleaned up
ControlSurprises at month endBudgets and alerts
PlanningBlind commitmentsSized from real usage
CultureFinance and engineering disconnectedShared monthly reviews

More about finops and cost control

The goal is not to slow your teams down, but to make spending predictable so AI projects can scale with confidence. Monthly reviews keep improvements going.

Combine with managed cloud services and AI cloud infrastructure.

AWS Cost ExplorerAzure Cost ManagementBudgets and alertsSavings PlansReserved InstancesSpot capacityTagging policyDashboards

FinOps and Cost Control FAQs

Savings depend on your starting point. We measure your baseline first and report improvements transparently.

Yes. We right-size using real usage data, and test changes before applying them to production.

Yes. Scheduling, auto-shutdown, quotas and commitment planning help control GPU spend.

Engineering, finance and product leaders. We run regular reviews so everyone sees the same numbers.
// ENTERPRISE ENQUIRY

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  • Workload and data assessment
  • Reference architecture and security approach
  • Cost and risk outline
  • No obligation

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Talk to an enterprise cloud architect. We will review your workload and recommend a secure, cost-controlled path to production.