AI cost governance
Enterprise AI FinOps and cost governance
AI cost is difficult to govern when models, providers and applications are priced independently and usage is spread across many paths. Vayon AI brings service pricing, usage evidence, attribution, limits and routing decisions into one governed operating picture — and is explicit about which numbers are measured and which are estimated.
Four things that make AI cost governable
Know what AI costs
See estimated operational AI cost by model, provider, connected system, consumer and other supported attribution dimensions, over the ranges you choose. Token and cost provenance distinguish measured evidence from an estimate, and activity that cannot be attributed is reported as unattributed rather than folded into a named total.
Keep prices trustworthy
Use one versioned AI Service Cost Catalog with effective dates, optional validity end dates and price history. Free and Unpriced stay different states, a usage event keeps the price that applied when it was recorded, and price lists, quotes and invoices can be imported from PDF, DOCX, XLSX or CSV — with every proposed line confirmed by a person before it enters the catalog.
Govern spend
Set budgets and connected-system spending caps, and monitor headroom and pricing coverage. Budgets can remain advisory or become an additional spending restriction where budget enforcement is explicitly enabled. A cap with nothing priced behind it is flagged rather than left looking effective.
Let cost improve routing
When several eligible models are priced for the same role, Vayon AI can prefer the cheapest capable option inside the same trust tier. Price never overrides sensitivity, policy, trust boundaries or capability requirements — it only reorders what governance has already allowed.
About “External cost avoided”
Vayon AI can report what the same requests would have cost at an external provider. This is not a net-savings figure: Vayon AI does not know the full cost of the organization's own AI infrastructure and does not assume internal inference is free. No savings percentage, payback period or return-on-investment figure is produced, and nothing is compared against an arbitrarily expensive model the organization would never have chosen.
Frequently asked questions
Is this the provider's bill?
No. These are operational estimates, priced at the moment each usage event was recorded, and they never reconcile to an invoice. The product distinguishes a measured token count from an estimated one, and says when a service is unpriced rather than counting it as zero.
Does cost decide which model answers?
Only inside what governance already allows. Eligibility is settled first by identity, policy, sensitivity and the trust boundary; cost can then reorder the eligible candidates within the same trust tier. Price never opens a route that policy, sensitivity, trust or capability would deny, and cost-aware routing is something an organization turns on deliberately.
How is Vayon AI licensed?
By the number of licensed VAYON servers plus organization-wide extensions: VAYON Core covers the organization and its first licensed VAYON server, and each additional server has a fixed annual price. There is no separate licensing fee based on the number of AI users, systems, requests, tokens, agents or developers — that is the licence, and it is separate from the operational AI cost this page is about.