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.
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
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.
FinOps and Cost Control: before and after
| Unmanaged spend | FinOps by Xpecto | |
|---|---|---|
| Visibility | One big bill | Cost by team, project and model |
| Waste | Idle GPUs and orphaned storage | Scheduled, cleaned up |
| Control | Surprises at month end | Budgets and alerts |
| Planning | Blind commitments | Sized from real usage |
| Culture | Finance and engineering disconnected | Shared 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.
FinOps and Cost Control FAQs
Request a free AI cloud architecture review
Share your workload, timeline and cloud preference. An enterprise cloud architect will review it and come back with a recommended approach.
- Workload and data assessment
- Reference architecture and security approach
- Cost and risk outline
- No obligation
Related solutions
Most enterprise programmes combine several of these. They work well with FinOps and Cost Control.
Planning an AI product? Let us design the cloud it runs on.
Talk to an enterprise cloud architect. We will review your workload and recommend a secure, cost-controlled path to production.