Cost review
A fixed-scope look at your AWS and AI spend: what each dollar buys, what to change first and what each change is worth. Presented to finance and engineering together.
We turn your AWS and AI spend into a plan your team can act on.
Make the whole system visible.
[ the Problem ]
Your tools — AI included — can already tell you what changed and why. Whether that spend pays off is another question: which part drives growth, which part is waste, and what to change first. That takes someone who speaks both finance and engineering, and a plan your team can act on.
The bill grows faster than your traffic. Finance sees the total, engineering sees the systems, and no one owns the gap.
AI features ship before a budget does: tokens, models and GPUs nobody forecast — and you're asked to pay for them with savings.
Built fast for launch: over-provisioned, hand-wired, hard to scale. Every change takes longer and costs more than it should.
[ the Solution ]
We connect what finance sees with what engineering builds — across cost, AI and architecture. Where it makes sense, we build it with you.
Per active customer / month
First priorityScale down idle background jobs.
Meets the agreed quality targetSame forecast usage across all options.
Keep critical services available.
Make changes repeatable and safer.
Validate cost and effort before scaling.
[ Services ]
Each service has a clear scope and a clear result. Start with the cost review, then add what it shows you need.
A fixed-scope look at your AWS and AI spend: what each dollar buys, what to change first and what each change is worth. Presented to finance and engineering together.
A monthly check on cost per customer, unusual spend, commitments and the forecast. One short report that finance and engineering both read.
Know what an AI feature will cost before it ships. We compare models and setups on quality and cost, and forecast the monthly bill at your expected usage.
AI that takes over the work your team repeats: documents, email, reviews and reports. Built with a second check where accuracy matters, and a known cost per run.
Risks, cost and how easily your system can change, with a step-by-step plan: to AWS, serverless or a hybrid setup, whichever fits.
Where it makes sense, we build the product with you: serverless services, integrations and the delivery pipeline behind them.
[ how it works ]
Three steps from your bill to changes that pay off.
Step 1
We read your bill, usage and architecture with read-only access. Nothing in your account changes.
Step 2
You get a prioritised plan: what to change first, what it saves and what it risks.
Step 3
Your team makes the changes. We review them before they ship and track what each one saves.
[ why niviance ]
The credentials behind the work, and a way of working that keeps your account and your decisions with you.
The AWS Golden Jacket: 12 AWS certifications, from architecture and security to data and machine learning. You talk directly to the engineer who reviews your account.
Reviews run on read-only access you can revoke at any time. Nothing changes in your account unless your team decides it should.
Every engagement starts with a written scope and price. The first review is fixed in scope, so you know the cost before we start.
Findings come in dollars for finance and as concrete changes for engineering, so both sides decide from the same plan.
- runs: 24/7 + runs: on schedule