AI spend will grow with use. The cost of getting things done stays under your control.
More AI and more agents mean a bigger AI bill. That is fine — if you are in full control of it. Brutor AI puts you there, four ways:
What everything costs
Every AI system, down to the finished task — routed, bought, and discovered, on one ledger. No surprise invoices.
Spending under control, assured
Per-agent budgets and per-skill quotas, enforced before the call. Agents are watched while they run, so a misbehaving one is caught before it burns budget.
Cost that actively goes down
Caching, smart routing, batch, and managed prompt caching for everything you route — automatically where it can be.
The price of a result
The cost of a completed task, and how it grows with use — measured from real runs, so you know which workloads stay affordable at scale.
Budgeted. Metered. Attributed. Enforced. Per request.
For everything you route, the Brutor AI Gateway enforces budgets as the traffic flows, and prices and attributes every call the moment it completes.
Per-group budget limits
Daily spend caps, token limits, and request limits per team, project, or agent — for both LLM and MCP traffic.
Real-time enforcement
Exceed a limit and the next request is turned away at the gateway before it reaches the provider — the overspend never happens.
Attribution & alerts
Every cost ties back to the user, team, model, agent, and tool call behind it — live in Mission Control, with anomaly alerts and an acknowledgement workflow.
Native OpenTelemetry hooks feed Prometheus, Grafana, Loki, or any OTel backend you already run.
Cost is one dimension of the gateway — explore the full Brutor AI Gateway →
No runaway agents. No runaway bills.
Agents are why AI bills grow — and why a budget line isn’t enough. Brutor gives every agent an identity, a contract, enforced limits, and assurance while it runs.
Identity
Every agent and skill is a named cost subject — not a shared API key.
Contract
What it may touch, spend, and call. Expensive or risky actions need a human’s approval.
Run
Per-agent budgets and per-skill quotas, enforced before the call. Cross the line and the call stops.
Assured
Runs, drift, and conformance watched every day after launch. The assurance report writes itself.
Cost that goes down, not just gets reported.
Because your traffic flows through the gateway, the gateway can make it cheaper — automatically, on every request. The built-in reducers:
Smart model routing
Route each task to the cheapest model that meets policy. Cheap, fast models handle routine work; premium tiers are reserved for the queries that actually need them.
Batch processing
Push large workloads — evaluations, document pipelines, bulk classification — through async batch processing at the providers’ batch pricing — typically 50% lower where the provider offers it.
Two-layer cache
Your fastest, cheapest LLM call is the one you never make. A response cache catches exact-match prompts; the semantic cache recognizes reworded prompts asking the same thing. Both return cached responses — no token spend, no provider call.
Provider prompt caching, managed
Per-provider prompt-cache capabilities are tracked and configured centrally — so long system prompts get the provider-side discount wherever one exists.
Tokenomics: the price of a result, and which workloads stay affordable as they grow.
Providers bill per call. Your business counts finished work. Tokenomics — a Linux Foundation standard since August 2026 — measures the cost of a completed task, and how a workload’s cost grows with use. Brutor AI measures both from real runs and shows them on every AI System.
See the price of a result
Every AI System shows cost per completed task next to spend, against the ceiling in its contract. Red when it crosses.
Scale without surprises
Every AI System carries its cost-growth class. You see it before you scale — not on the invoice.
Spot cost drift early
A model update, a longer tool chain, more handoffs. When a workload’s cost shape changes, Brutor raises a finding with the likely cause.
Pull the right lever
Cache, cheaper model, batch, or a depth limit — the class shows which one moves the number, and whether it worked.
Read the guide: A Practical Guide to AI Tokenomics → · Terms defined in AI Control: Explained
Everyone in your company uses AI. Cost control has to reach them too.
Much of a company’s AI is people, not agents — in ChatGPT, Copilot, or Claude, on accounts you can see but never control. The Brutor User Portal is the alternative: enterprise AI chat through the gateway. Your people get their own models, documents, and knowledge bases with citations. You get every conversation routed, budgeted, reduced, and attributed.
Their AI, safe
Guardrails screen every prompt and response — PII, secrets, and policy violations are caught in the flow, without users doing anything.
Their spend, monitored in detail
Each user sees the right models for their role, spend is tracked per user and team — and anyone approaching a budget limit gets a notification before the cutoff, not after.
Smart cost reduction, applied
Caching serves repeated answers instantly, batch processing takes the big jobs at lower cost, and smart routing picks the right-priced model for every conversation.
Observed traffic, same ledger
The AI you buy but don’t route — Copilot, ChatGPT — is imported through vendor APIs into the same resource groups, with advisory budget warnings. Spend and attribution, yes; cost per task and class, no — there is no run to measure until it routes.
You can’t manage what you can’t see
Discover the AI your organization uses that you don’t yet manage — and bring it into the loop before its costs run. More on Shadow AI Discovery →
Where Brutor AI Cost Control stands out.
- Enforcement, not dashboards. Most cost tools report after the spend. Brutor’s budgets act in the request path.
- Agents are first-class cost subjects. Every agent and skill attributed, limited, and gated — not one shared API key.
- Reduction runs in the same pipe. Routing, caching, and batch work on the traffic the gateway already governs.
- One ledger for the whole estate. Routed and imported spend, cost per completed task, cost-growth class — and a flat annual license, no per-token fees.
Cost control is just a piece of the puzzle — learn how you can manage your AI Systems with Brutor AI.
Explore the Platform →See how you can reduce your AI costs.
Download the free trial, or book a 30-minute demo with our team.