Will cost cutting hurt performance or reliability?

Not if it is done in the right order. Most early savings come from unused resources, oversized non-production environments, and untiered storage — none of which touch production performance.

Do savings hold after the engagement ends?

They hold when the practice does. We leave allocation dashboards, automated cleanup policies, and a cadence your teams own, because one-off optimisation drifts back within two quarters.

How quickly can an engagement start?

Discovery usually begins within one to two weeks of scope agreement, and a delivery team is typically mobilised within three to four weeks depending on the skills involved.

Can you work alongside our in-house team?

Yes — most of our engagements are blended. We work in your repositories, ceremonies, and tooling, and we plan for knowledge transfer from the start so capability stays with you.

How are engagements priced?

Fixed price for well-bounded projects, monthly capacity for dedicated pods, and outcome-linked SLAs for managed services. We are explicit about assumptions and what would change the number.

NeonAITech services — AI and data engineering, product engineering, cloud and DevOps, managed operations, security and quality

Cloud FinOps & Cost Intelligence

Cut cloud waste without asking engineers to guess.

Book Free Consultation All Services

20–40%

Typical first-year spend reduction

95%

Of spend attributable to an owner

Weekly

Anomaly detection, not monthly surprises

Overview

What Cloud FinOps & Cost Intelligence means at NeonAITech

Cloud spend drifts upward quietly. We install FinOps practice — allocation and showback, rightsizing, commitment strategy, and unit-cost metrics tied to business volume — so every team can see what they consume and reduce it without a spreadsheet exercise every quarter.

Tools & Platforms

AWS Cost Explorer
Azure Cost Management
Kubecost
Terraform
Grafana
Athena

We are not tied to a single vendor — the stack follows the problem, your existing estate, and your team’s skills.

What We Deliver

Visibility & Allocation

Tagging strategy, showback by team and product, and dashboards that make spend legible to engineering and finance alike.

Optimisation Execution

Rightsizing, storage tiering, idle-resource cleanup, and architecture changes — implemented, not just recommended.

Commitment & Forecasting

Reserved instance and savings-plan strategy with coverage tracking, plus forecasting finance can plan against.

Capabilities

Inside the Engagement

FinOps Foundation framework adoption

Unit economics per customer or transaction

Anomaly detection and budget alerting

Kubernetes cost allocation

Automated waste-cleanup policies

How We Work

A delivery rhythm you can see into

Every Cloud FinOps & Cost Intelligence engagement runs the same four phases, with AI used wherever it removes effort rather than adds novelty.

01
Discover
We map the current state, agree the outcome, and size the work — so scope is a shared decision, not a surprise.
02
Design
Architecture, delivery plan, and success measures are set before build, with costed options where trade-offs exist.
03
Build
Short increments with working output you can review, steer, and stop — never a black box until go-live.
04
Operate
We measure against the agreed outcomes, hand over documentation, and stay on for support where you want it.

Engagement Models

Buy it the way that fits

Fixed-Scope Project

A defined outcome, timeline, and price. Best when requirements are clear and the deliverable is well bounded.

Dedicated Pod

A cross-functional team working to your backlog and priorities, scaling up or down with a month’s notice.

Managed Service

Ongoing ownership against agreed SLAs, with a share of capacity reserved for continuous improvement.