Infrastructure and Cost Optimization
A short audit that finds where your cloud and AI budget is leaking: resources sized far above what they use, LLM calls that burn tokens they do not need to, and missing caches that make you pay for the same work twice. You get a ranked list of what to change and what each change is worth.
Cloud and AI bills grow quietly and rarely get questioned
Infrastructure spend tends to ratchet up. A resource is provisioned large to be safe and never resized, a feature ships without caching, an LLM prompt sends more context than it needs on every call. Individually none of it triggers a review, and together it can be a large share of the bill. A focused audit goes through the actual usage data, finds the waste, and quantifies it, so the changes worth making are obvious.
What the audit covers
- Compute, storage, and database resources checked against real utilisation to find over-provisioning
- LLM and AI API usage reviewed for oversized prompts, avoidable calls, and model choices that cost more than they need to
- Caching gaps where the same expensive work is paid for repeatedly
- Data transfer, idle resources, and forgotten environments that still bill
- Each finding sized by likely monthly saving and the effort to make the change
- A prioritized report, with implementation scoped separately if you want us to make the changes
How the audit runs
- 1
Access the data
You grant read access to billing, usage metrics, and infrastructure config. We agree which services are in scope.
- 2
Analyse usage
Actual utilisation is compared with what is provisioned, and AI usage is broken down by cost driver.
- 3
Verify and size
A senior engineer confirms each finding is real and safe to act on, and estimates the saving and the effort.
- 4
Prioritize
Findings are ranked so the biggest, safest savings are at the top of the list.
- 5
Report and read-out
You get the written report and a call to walk through it and decide what to act on.
What you get out of it
- A ranked list of cuts with a rough value on each
- A clear picture of what is driving the AI portion of the bill
- Quick, safe savings you can make immediately
- A baseline to check future spend against
Questions we get about this
It varies with how much tuning has already happened. Environments that have never been reviewed often have double-digit percentage waste. We size each finding individually so you can see the total before committing to any change.
Ready to scope infrastructure and cost optimization?
Send us the details of your setup: the tools, the volume, the workflow. We'll come back with an honest assessment and a fixed quote.