Blunom TokenOpsAI FinOps and Cost Governance
Closed-loop financial governance for AI that attributes, budgets, and optimizes every token, so spend becomes a governed line item tied to business value
FULL ATTRIBUTION
Every token mapped to a model, agent, team, and workflow
NO MARKUP
True, un-marked-up cost from a neutral platform
SPEND CONTROLS
Budgets, rate limits, and policies that stop overruns
OUTCOME-TIED
Spend aligned to the value it delivers
Our Customers and Partners
AI COST IS A BLACK BOX
Blunom TokenOps turns unpredictable AI spend into a governed line item you can attribute, budget, and optimize.
What is AI FinOps?
AI FinOps is the practice of bringing financial governance to AI spend: attributing every token to the model, agent, team, and workflow that used it, setting budgets and policies that control cost before it is incurred, and continuously optimizing for the best price-performance. Blunom TokenOps makes this closed-loop, so AI cost becomes a governed line item tied to business value instead of an unpredictable black box. It attributes spend everywhere AI runs on Blunom, including the Agentic Router.
From raw tokens to governed spend.
TokenOps runs inline as your chat, agents, workflows, and API calls execute. It meters every token at the provider's true price, attributes it, and enforces your budgets, with nothing to instrument and no markup in between.
Attribute
Every model and tool call is metered as it runs and tagged to a provider, model, agent, team, and the app or key that spent it, so you always know what ran and what it cost.
Govern
Set budgets, daily and monthly caps, rate limits, and spend policies per key, team, and model. A request that would cross a limit is refused before the spend happens, not reported after.
Optimize
Analytics tie spend to the outcomes it produced and surface model-swap recommendations with estimated savings, which you can apply directly.
Everything AI FinOps should do
Blunom TokenOps brings AI FinOps to every token: closed-loop financial governance that attributes each token to a model, agent, team, and workflow. Budgets, rate limits, and spend policies stop runaway costs before they reach the P&L, while analytics show exactly where to optimize. Because Blunom is neutral and never marks up tokens, the numbers you see are the true numbers.
Attribute Every Token
Token-level cost attribution across every model, agent, team, and workflow, with numbers you can trust.
Govern Every Dollar
Budgets, rate limits, and spend policies that stop runaway cost before it reaches the P&L.
Optimize Continuously
Recommendations that point to exactly where to cut cost without losing quality.
One cost layer, three teams
For finance and FinOps
Turn AI from an unpredictable expense into a governed line item, with chargeback, budgets, and the true cost of every model.
For platform and engineering leaders
See cost by agent, workflow, and model, and cut spend with swap recommendations, without slowing teams down.
For executives and the board
Answer what AI costs, what it returns, and how it is controlled, with numbers you can trust because nothing is marked up.
Built for the people who own the AI budget
For the CFO
Make AI a predictable, governed line item.
- True, un-marked-up cost for every model, so the number you report is the number you pay
- Chargeback and showback by team, so spend lands on the right budget
- Budgets and caps that prevent overruns before they reach the P&L
- Audit-ready, exportable reporting for finance and compliance
For the CIO
Govern AI spend without slowing teams down or locking in a vendor.
- Cost by model, agent, and workflow across every provider you connect
- Spend policies and rate limits enforced inline on every call
- Neutral and bring-your-own-key, so you keep control and avoid markup
- Optimization recommendations that cut cost without losing quality
Governed, neutral, and built for enterprise security
Neutral platform
Blunom never marks up tokens, and you bring your own provider keys.
Security
Encryption in transit and at rest, SSO via SAML and OIDC, enforced MFA, and fine-grained role-based access control.
AI Firewall
Inline screening that blocks prompt-injection attempts and redacts sensitive data before it reaches a model.
Compliance
AWS Global Startup Program technical baseline review completed, SOC 2 Type II examination in progress, and ISO 27001 in pursuit.