We cut cloud waste without slowing your engineers. Every cost gets a tag and an owner, oversized resources are resized, discounts are planned around real usage, and dashboards show what each customer costs to serve.
What's included
6 capabilities, delivered by one squad. Use what you need now and add more as you grow.
A tagging scheme and ownership model, so every cost has an owner and each team sees, or pays for, what it uses.
Resize machines that are bigger than they need to be, and remove idle machines, orphaned storage and forgotten environments.
Savings plans and reserved capacity bought only for steady workloads, so you get the discount without paying for capacity you don't use.
Cut the cost of moving data between zones, regions and the internet through better CDN use, NAT gateway set-up and traffic routing.
Track cost per API call, tenant, order or workflow, so teams cut the costs the business actually cares about.
Budgets, alerts, automated checks and approvals that keep spend in line without slowing engineering.
Our approach
The usual way
Spend is shared across teams, so nobody owns it and nobody fixes it.
How we do it
Every service, team and environment gets a named owner, a budget and a unit cost it is accountable for.
The usual way
Resources aren't tagged properly, so costs can't be traced to the teams that created them and arguments start.
How we do it
A tagging scheme enforced by policy, so each cost lands with the team that created it.
The usual way
A one-off clean-up whose savings fade because nothing stops waste coming back.
How we do it
Regular rightsizing and idle clean-up, backed by budgets, alerts and policies that keep the savings in place.
Architecture
Each layer has a clear job, so the system is easier to secure, test and extend.
Tags, accounts, projects and owners, so every part of your bill traces back to a team.
Resize compute, clean up idle resources, cut data transfer costs and plan commitments within agreed risk limits.
Budgets, alerts, policies and approval workflows, so teams can't accidentally recreate waste.
Cost KPIs, cost per customer, anomaly alerts and monthly reviews that end in clear decisions.
How we deliver
4 phases, each ending with an output you can review.
Map your accounts and projects, then agree a tagging scheme, owners, budgets and unit-cost targets.
Output: Allocation blueprint
Resize oversized resources, remove idle ones, cut storage and data transfer costs, and plan savings plans and reservations.
Output: Savings backlog
Add budgets, alerts, policies, approvals and automated fixes, so the savings stay in place.
Output: Controls in production
Set up dashboards, KPIs and anomaly alerts, with a monthly review where engineering and finance agree what to change.
Output: Predictable spend
Your team
Specialists join your squad for this work, alongside a delivery lead who keeps you updated.
Sets the review rhythm, ownership and allocation rules, and keeps engineering and finance working from the same numbers.
Handles rightsizing, clean-up automation, commitment planning and data transfer design for savings that last.
Sets up budgets, alerts and automated checks that stop spend creeping back up.
Builds dashboards, unit-cost KPIs and anomaly alerts, and runs the monthly FinOps review.
Trust and control
Early warnings go to the right owner, with clear escalation paths.
Policy checks flag expensive set-ups before they reach production.
Each team can see, and owns, the costs it creates.
Monthly reviews, decisions and outcomes are recorded alongside cost per customer.
You keep full ownership of the code, configuration and documentation we create, with no vendor lock-in.
We pick what fits your product and team, not the other way round.
Results
We built AI network security for a global resort chain. It learns how devices normally behave on guest Wi-Fi and isolates suspicious ones automatically. It neutralised 99.9% of threats and detected them 2.5x faster.
We moved a global core banking system from an ageing mainframe to AWS one function at a time, keeping both ledgers in sync throughout. Operating costs fell 60%, releases became 5x faster, and there was zero service downtime.
We replaced a fund manager's broad VPN access with zero-trust controls that check the user, device and location, and grant privileged access only when it is needed. They cover 100% of identities and cut lateral-movement risk by 99%.
FinOps is a way of running cloud spending where engineering and finance share ownership of costs. In practice it means tagging every resource, giving each service an owner and a budget, removing waste and reviewing cost per customer every month. Savings last because teams can see the costs they create.
The length of a cost review depends on how many cloud accounts, projects and services you run. We start with a spend baseline of your main environments that shows where the money goes and where the biggest savings are, then agree a plan. A scoped project can kick off in 1–2 weeks.
Savings stay in place because the controls keep running after the clean-up. Each team has a budget and alerts, policy checks flag expensive set-ups before production, and clean-up of idle resources runs on a schedule. A monthly FinOps review checks cost per customer and agrees what to change next.
Much of the routine work can be automated, with your approval. We schedule clean-up of idle machines, orphaned storage and forgotten environments, flag resources that are bigger than they need to be and run regular cost checks. Changes that could affect a live service go through an approval step first.
We map how data moves between services, zones and regions, and where it leaves your cloud. Then we cut avoidable traffic through better CDN caching, NAT gateway set-up and routing, and by placing services that talk often closer together. Each change is weighed against the cost it saves.
Dashboards link cloud spend to the services, teams, customers and workflows that create it. We track unit costs such as cost per API call, tenant, order or workflow, set a target for each and add anomaly alerts. Teams can then see when a feature or customer costs more to serve than expected.
FinOps work can be a fixed-scope project, such as a spend baseline and savings backlog, or ongoing support from a managed squad for a flat monthly fee, with no hourly bills. After a first call we suggest the right team and give you a rough quote range for the work.
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