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FinOps & Cost Optimisation

FinOps & cost optimization

We find the waste in your cloud bill, fix it, and set up the tagging, budgets and reviews that stop it coming back.

A custom engineering engagement

We scope this service around your workflow, existing systems and acceptance criteria. The work starts with the problem and its constraints, then a written scope and price. A packaged solution is a different buying route: choose it when its defined deliverables already fit the job.

01The problem

Where things usually stall

Cloud spend made visible, owned and steadily reduced.

  • 01

    A bill nobody can explain

    Spend grows every month and no team knows which share is theirs.

  • 02

    Over-provisioned everything

    Instances sized for launch-day panic, running at ten percent utilisation.

  • 03

    AI costs out of control

    Model API spend jumps the week a new feature ships.

02Capabilities

What we deliver

  • 01

    Cost assessment

    A line-by-line review of spend with savings ranked by effort.

  • 02

    Rightsizing and scheduling

    Compute, storage and databases sized to real usage, with non-production shut down out of hours.

  • 03

    Commitment planning

    Savings plans and reserved capacity bought on data, not guesswork.

  • 04

    Tagging and allocation

    Every resource tagged to a team and product, with showback reports.

  • 05

    AI and LLM cost control

    Model routing, caching and quotas that keep inference spend predictable.

  • 06

    Budgets and alerts

    Forecasts and anomaly alerts that reach the owner before the invoice does.

03Outcomes

What changes once it’s live

  • 01

    Spend that has an owner

    Cloud and model costs attributed to products, environments or workloads wherever the billing data supports it.

  • 02

    Decisions based on unit cost

    Usage and business context help distinguish necessary capacity from idle or misconfigured resources.

  • 03

    A cost-control routine

    Budgets, alerts and review responsibilities make optimization an ongoing operating practice.

04Approach

How we deliver it

  1. 01

    Establish the cost baseline

    Review billing exports, tags, utilization and model usage, recording where attribution is incomplete.

  2. 02

    Identify the actual cost drivers

    Compare capacity, architecture and usage patterns, including retries, token consumption and idle environments.

  3. 03

    Test changes against service needs

    Evaluate rightsizing, scheduling, caching or model routing without assuming that a cheaper configuration is acceptable.

  4. 04

    Track the effect

    Compare spend and service behaviour after changes, hand over dashboards and set owners for the next review.

05Stack

Tools we use most

  • Google Cloud
  • Kubernetes
  • Terraform
  • Grafana
  • Datadog
  • Prometheus
  • AWS
  • Azure
  • BigQuery
  • Pulumi
  • Helm
  • Snowflake

07FAQ

Frequently asked questions

View pricing guide
How much can we save?

It depends on where you start. We share a savings estimate after the assessment, before any implementation work.

Will optimisation affect performance?

We test changes against your performance targets and roll them out gradually.

Is this a one-off project?

The first pass usually is. Most clients keep a monthly review so the savings hold as the platform grows.

How is the engagement priced?

We agree a fixed scope and price after reviewing the work, system dependencies and acceptance criteria. The pricing guide explains approved ranges for the engagement types it covers. A written proposal confirms what is included before a build starts.

How should the first delivery decision be made?

Review billing exports, tags, utilization and model usage, recording where attribution is incomplete. Compare capacity, architecture and usage patterns, including retries, token consumption and idle environments.

What should the acceptance criteria cover?

Cloud and model costs attributed to products, environments or workloads wherever the billing data supports it. Usage and business context help distinguish necessary capacity from idle or misconfigured resources. Budgets, alerts and review responsibilities make optimization an ongoing operating practice.

AI readiness

Not sure where you stand?

Ten questions, about three minutes. Find out what needs attention before you build.

FinOps & Cost Optimisation

FinOps & Cost Optimisation

Cloud spend made visible, owned and steadily reduced.