A VENDOR YOU APPROVED TWO YEARS AGO HAS CHANGED OWNERSHIP, ADDED SUB-PROCESSORS, AND LET THEIR SECURITY CERTIFICATION LAPSE. YOUR RECORDS STILL SHOW GREEN.
The Problem
Why AI spend is so hard to see
Spend platforms count dollars by vendor. Observability tools trace tokens for engineers. Neither can tell finance what a charge actually is.
AI is now woven through the stack because it works — the coding agents, the assistants, the AI features inside tools you already own. Adoption spread faster than anyone's tracking systems did. The result is spend that is metered by the token, billed after the fact, and scattered across five different kinds of bills — while the terms that explain it sit in the agreements.
Receipts aren't commercial models
A $30K charge from one AI vendor could be a predictable subscription renewal or a one-time credit top-up. On a card statement they look identical. In a forecast they behave like opposites.
The meter hides in five places
Model providers. Hosted models inside your cloud bill. Aggregators blending a dozen providers into one charge. AI-native apps. Metered AI features inside SaaS contracts that still read like flat subscriptions. Across all agreements in BRM, 4.3% already carry both a committed fee and an AI usage component.
Usage data lives with engineering
The granularity finance needs — which model, which key, which team, input vs. output — sits in provider admin consoles and engineering dashboards. Finance works from invoices, weeks later, one vendor-level total at a time.
The Result
The budget becomes a number you discover instead of a number you set. Every variance conversation starts with reconstruction. Every forecast is wrong in a different direction.
How BRM makes AI spend visible
A live AI spend view, from data you already have
Run rate, trend, and acceleration across the whole stack, usage split from seats — built automatically from cards, ERP, email, and your agreements. No tagging.
Direct integrations with the providers themselves
Model, token, key, and team-level detail, read straight from the providers' own cost APIs. Nine integrations live today, from Anthropic to Bedrock to OpenRouter — so you see the AI spend that you know about, and what you don't.
Commercial model on every agreement
BRM's agents collect the agreements and receipts from your inbox and resolve every charge to the agreement it belongs to — seat, subscription, usage, or hybrid, classified at the line-item level.
Forecasts and answers on tap
Consumption exposure, COGS vs. OPEX, and forecasts from real usage velocity — each a query, not a project. Connect your LLMs over MCP and simply ask.
Every upcoming renewal surfaced months in advance with full context — so you're deciding, not scrambling.
Every termination right and cancellation window extracted from the contract and surfaced as a real deadline.
Prior terms, concessions, usage, and history ready before you walk in — so you're not starting from a blank page.
The utilization, history, and alternatives you need to decide — in one place, at exactly the right time.
When you can see the full relationship, you stop reacting and start deciding.
Every agreement your business has. Complete, accurate, always current. BRM makes sure no relationship — and no context inside it — ever goes missing.
51Mins
Saved per contract
100%
Renewal visibility
6-20%
Average vendor spend reduction
"Using BRM is like looking through your windshield. Other tools we used in the past were like looking in the rearview mirror."
"The renewal calendar and renewal notifications are so good... I love how real-time BRM is."
"BRM's automated alerts the moment a new contract arrives is my favorite thing - I get the heads-up, but I don't have to do anything. The contract and every key detail show up instantly, whether it comes in via our ERP, card, inbox, wherever, so I never have to dig through inboxes or become a detective to find what matters."
"BRM gave our finance team expert-level insight into vendor spend, without the hours of manual tracking."
"BRM saved me $10k in 110 seconds."
Bring the relationship under your control.
See every vendor, every commitment, every conversation clearly. Walk into every interaction with the institutional memory your vendor already has.
Frequently Asked Questions
Find answers to common questions about BRM and how we work
It's a live view of everything your company spends on AI, built on the one thing a card statement can't give you: the commercial model behind each charge. BRM pulls in your AI spend across model providers, hyperscaler-hosted models, gateways, and AI-native apps, resolves every charge to the agreement that governs it, and separates what's metered and moving from what's fixed. You see run rate, trend, and acceleration by vendor, usage split from seats, and spend by model, key, and team, without building a spreadsheet or waiting on an invoice.
Finance, FinOps, and procurement leaders who own the AI line and can't yet explain it. If your token spend is growing faster than your ability to forecast it, if "how much did AI cost us last quarter" takes three logins and a spreadsheet to answer, or if you suspect there's AI spend hiding in your cloud bill and your SaaS contracts that nobody has surfaced, this is built for you. It's available today to BRM customers as part of the platform.
BRM connects directly to the providers' own usage and cost APIs across every layer of AI spend, not just the model vendors everyone thinks of:
- Model providers: Anthropic, OpenAI, xAI
- Hyperscaler-hosted models: AWS Bedrock, Azure AI Foundry, Google's Gemini Enterprise Agent Platform (Vertex AI), Cloudflare Workers AI
- Gateways and aggregators: OpenRouter
- AI-native apps: Cursor
More are on the way. The layers that competitors miss, the hyperscaler models buried in your cloud bill and the gateways blending a dozen providers into one charge, are exactly where BRM reaches.
No. Every provider connection is read-only and scoped to usage and cost data. BRM sees how much you spent, which models ran, and which keys and teams generated the usage. It never sees the content of your prompts, your responses, or your conversations, and it can't change anything in your provider accounts.
A provider dashboard shows you one vendor, in one format, with no idea what you agreed to pay. BRM does three things none of them can. First, it brings every provider and layer into one view, including the hyperscaler and gateway spend that never appears on an AI-labeled dashboard at all. Second, it resolves each charge to its agreement, so you see whether a charge is subscription or credits, inside commitment or into overage, fixed or about to reprice at a threshold. Third, because BRM already holds your agreements and spend across the whole vendor stack, your AI spend sits in the context of everything else you buy, ready to tag COGS or OPEX and forecast forward. A dashboard tells you what happened. BRM tells you what it means and what it will cost next quarter.
Yes, for now. AI Token Spend Management is part of the BRM platform and available to BRM customers today. If you're already on BRM, it's ready to switch on. If you're not yet, a demo is the fastest way to see it against your own stack.
SSO, role-based permissions, encryption, and detailed audit logs come standard. BRM is also SOC 2 Type 2.