Scale AI without the surprise bill.
We track tokens, GPU hours and agent runs by team and product, cut the cost without cutting quality, and tie every AI project to a result the business can measure.
Free to start. No obligation. Read-only access, on any cloud.
AI spend has arrived, and most teams cannot see it.
The State of FinOps 2026 report found that 98% of FinOps teams now manage some AI spend, up from 31% two years earlier. AI costs come in new units (tokens, requests, GPU hours), spread across cloud, SaaS and model providers, and shared models make it hard to say who used what.
The risk is not only the bill. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, citing rising costs, unclear business value and weak risk controls. Cost control and value tracking are part of making AI last.
What we do
Map the spend
Cloud AI services, GPU clusters, model APIs and AI features inside software you already pay for, in one view.
Attribute it
Costs assigned to teams, products and features, with unit costs such as cost per resolved ticket or per thousand requests.
Cut cost, keep quality
Model choice, caching, shorter context, batching and right-sized GPUs, with evaluations to confirm quality holds.
Set guardrails
Budgets, rate limits, approval for new models and a clear way to switch a runaway workload off.
Prove the value
Each AI project linked to a business measure, so the savings and the benefit can both be shown.
Platforms and sources we cover
- Cloud AI services
- Model provider APIs
- Self-hosted models
- GPU clusters
- AI agents
- Copilots and SaaS AI
A plan in 3 days. Results in a week.
Both timelines run from the day your team gives us read-only access, apply to a scoped Jumpstart, and are confirmed in writing before we start.
Day 0
Read-only access
Your team grants read-only access to billing, usage and configuration data. Your data stays in your environment.
Day 3
Your shared plan
Priorities ranked by impact and value, agreed with your team, with how each saving will be counted.
Day 7
First results, live
The first changes are live in your environment, each one approved by your owners and reversible.
Questions buyers ask us
Do you also build AI agents?
Yes. We design, build and run AI agents, and we size them to pay for themselves. The cost work and the build work use the same measures.
Which AI providers do you cover?
Any. Cloud AI services, model provider APIs and self-hosted models are all in scope.
Do you need to see our prompts or customer data?
Cost work runs on usage, cost and metadata. If an evaluation needs real examples, we agree in writing how they are handled before we see any.
How do you measure quality while cutting cost?
We build an evaluation set with your experts and test each change against it, so a cheaper setup only goes live if quality holds.
How is Approsyz priced?
The Jumpstart is free, scoped and capped. After that, work is a fixed fee for a defined outcome or a monthly retainer. For cost programmes, part of our fee can be a share of verified savings.
How quickly will we hear from you?
A senior engineer replies within 4 working hours. With read-only access, you receive a shared plan within 3 days and first results within a week.