A cost and AI-cost remediation sprint that implements the savings and the controls that keep them.
Who it's for
Customers with a CN Spend savings register.
When teams call us
Savings identified but no engineering time to deliver them.
What's included
- Rightsizing
- Scheduling
- Storage lifecycle
- Savings Plans recommendation
- Tagging and allocation rules
- Budgets and anomaly alerts
- For AI workloads: model selection and routing, prompt caching, token budgets per feature or tenant, GPU utilisation fixes
What you receive
- Implemented savings
- Allocation and budget controls
- 30-day savings report
Acceptance criteria
- Savings measured in NerveCenter against the CN Spend baseline after 30 days
Scope, stated plainly
What's not included
- Percentage-of-savings fees
How it works
Build, step by step
- 01
Kick-off and baseline
We agree the acceptance criteria up front and capture a NerveCenter baseline to measure against.
- 02
Weekly sprints
Delivered as code alongside your engineers, with a working increment and a demo every week.
- 03
Acceptance demo
We prove each acceptance criterion against the agreed baseline.
- 04
NerveCenter re-scan and handover
A re-scan confirms the result, and you own everything we built — code, runbooks and dashboards.
What comes next
A natural next step
Start with a free CN SignalCheck
A free, live 45-minute NerveCenter scan of one AWS account with a CloudNerve architect. See your security score, top cost anomalies and biggest risks — then decide on CN SpendFix.