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Your AI spend, under control.

Explore the core capabilities that make Brutor AI a complete FinOps solution for AI.

01Know

See the true cost of every AI task in one clear ledger.

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02Optimize

Every governed call runs at the lowest cost.

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03Agents

No runaway agents. No burned budgets.

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04Tokenomics

See which workloads stay affordable as you scale.

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01 /Brutor AI Control Plane: Your FinOps Mission Control

What you route and what you buy, on one ledger.

While other providers typically provide economics for traffic you route through their gateways, Brutor AI offers much more:

  • Traffic governed through the Brutor AI Gateway. Metered, priced, and enforced as it flows: budgets, token and request limits per team, project, or agent, checked before the call for LLM and MCP traffic.
  • Bought AI, on the same ledger. Spend with Anthropic, OpenAI, Google, and Microsoft is tracked alongside routed spend, with budget warnings on both.
  • Shadow AI Discovery. Find AI traffic that you do not have under control, so you can govern it and stay on top of AI spend.
  • All AI costs attributed. Tied to team, user, model, and agent, with burn-down and run-rate, so you can charge back and forecast.
Mission Control, Cost tab, in the Brutor Admin Console. Three tiles: total spend $179.44, up 12.8 percent, over 81 million tokens and 42,241 requests; governed (inline) $179.44, enforced; observed (imported) $0.00, observability only. Budget burn-down bars for customer-operations, nordica-insurance and claims-triage-agent, monthly and daily, each as spent against cap with a percentage. Cost attribution panels by provider (openai, anthropic), by model (gpt-5.5, gpt-5.2, claude-sonnet-5, text-embedding-3-small), by team (resource group) and by user, each with spend, request count and change.
Mission Control → Analytics → Cost Budget burn-down and attribution, live. Each group’s daily and monthly cap against actual spend, broken out by provider, model, team, and user, with governed spend kept separate from imported.

02 /Costs optimized on every call

Governed AI calls at the lowest price possible

Brutor AI Gateway makes routed traffic cheaper, automatically, on every request. The built-in optimizations:

  • Smart model routing. Set a routing group to lowest cost, and each call goes to the cheapest eligible model.
  • Batch processing. Large, non-urgent jobs run at the providers’ lower batch rates.
  • Two-layer cache. Repeated and reworded prompts are answered from cache: no tokens, no provider call.
  • Provider prompt caching, managed. Configured centrally, so long system prompts get the provider’s discount.
Mission Control, LLM Economics tab, in the Brutor Admin Console. Two charts: LLM cost per 1,000 requests by month, a line between about $5 and $6, and LLM requests per month as bars. LLM economics tiles: token usage 647,693, estimated cost $1.23 over 754 requests, average cost per request $0.001628, average tokens per request 859. Cost avoided tiles: total avoided, gateway cache with hits and tokens saved, provider prompt cache from provider-reported discounts, and a cache hit rate. LLM media usage tiles for images, speech, transcription and video with their costs.
Mission Control → Analytics → LLM Economics Cost per 1,000 requests, tracked month by month against request volume. Cost avoided is labeled by source: gateway cache by hits and tokens saved, provider prompt cache by provider-reported discounts.
Watch videoCost & LimitsAccess & Resilience

03 /Agent spend under control

No runaway agents. No runaway budgets.

Agents can cause AI spend to get out of control. Brutor gives every agent an identity, a contract, enforced limits, and assurance while it runs.

01Identity

Every agent and skill is a named cost subject, not a shared API key.

02Contract

What it may touch, spend, and call. Expensive or risky actions need a human’s approval.

03Run

Per-agent budgets and per-skill quotas, enforced before the call. Cross the line and the call stops.

04Assured

Runs, drift, and conformance watched every day after launch. The assurance report writes itself.

Read guideAnatomy of a $10,000 AI Bill WatchAgent Control Video Series

04 /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.

why brutor

Where Brutor AI FinOps stands out

Enforcement, not dashboards

01

Most cost tools report after the spend. Brutor’s budgets act in the request path.

Agents are first-class cost subjects

02

Every agent and skill attributed, limited, and gated, not one shared API key.

Optimization runs in the same pipeline

03

Routing, caching, and batch work on the traffic the gateway already governs.

One ledger for the whole estate

04

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 AI Control Plane

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