TollGate: Governing Enterprise AI Spend

Introduction01

Companies should get more out of every AI dollar. TollGate puts one control point in front of every model your teams call.

“

Enterprise AI spend is exploding, unattributed and uncapped. Teams wire their own keys into their own tools and the bill arrives weeks later with no way to have stopped it. TollGate makes that spend visible per team, enforceable to a budget, and controllable in real time, without your prompts or keys ever leaving your cloud.

Works with your providers

Amazon Bedrock

OpenAI

Anthropic

Google Vertex AI

Azure OpenAI

Impact02

Control
from day one

→

TollGate deploys into your own cloud account in days, meters every request the moment traffic flows, and enforces per-team budgets the instant you approve them, turning AI spend from an invoice you discover into a number you control.

1 API → 100+

One OpenAI-compatible endpoint, every provider and model behind it.

~8 hrs

The lag before native cloud budgets even show an overspend. TollGate acts at request time.Source: AWS Budgets refresh interval.

2 weeks

Observe-mode pilot from deploy to your first board-ready spend report.

Prompts, responses or keys that leave your cloud perimeter.

100%

Of requests metered and attributed to a team, model and cost.

429

The status a request gets the moment a team hits its cap: refused, not emailed about.

TollGate aggregates every LLM request across teams, models and providers to meter cost, enforce budgets, route traffic and surface savings. One control plane for AI spend, running inside your cloud.

Capabilities

Metering & Attribution

A per-request ledger by team, model and token. The number finally has an owner.

Budget Enforcement

Hard monthly caps per team, enforced at the gateway: rejected at the cap, not merely alerted.

Smart Routing & Fallback

Automatic tier fallback, and a quantified view of what cheap-model routing would save.

Spend Reporting

One-click, print-ready reports: who spent what, where the savings are, for finance.

Budget Alerts

70 / 90 / 100% threshold alerts in-dashboard and to a Slack-compatible webhook.

Budgets & Enforcement

Reject requests the moment a team crosses its monthly cap

Restore service in seconds when a cap is raised, no redeploy

Alert at 70 / 90 / 100% of budget, before it becomes a surprise

Implementation examples

›Deliberately under-budget a team to demonstrate live enforcement

›Raise a cap mid-month from the dashboard to unblock a launch

›Route a capped team's overflow to a cheaper tier instead of failing

Data sources

›Per-request spend ledger

›Team budgets & windows

›Virtual keys (hashed)

›Model-tier pricing

Personas

●Platform / Infra lead

●FinOps / Finance

●Engineering manager

●CTO / VP Eng

Budget enforcement banner: a team at cap, requests being rejected — Enforcement, live429 at the cap

Daily spend chart — Daily spendattributed, not estimated

Spend, requests, cost per request, teams under control — Every dollar meteredper-request ledger

Spend by team against budget caps — Per-team budgetsbar vs cap · live status

One-time virtual key issue dialog — Virtual keysshown once · revoked instantly

Metering, Routing & Reporting

Attribute every token of spend to the team that spent it

Fall back across model tiers automatically on provider errors

Hand finance a period spend report they'll actually read

Implementation examples

›Two-week observe run, then present the spend report to set caps

›Quantify routing savings before switching the policy on

›Export a dated report to PDF for a board or budget review

Data sources

›Request/response token counts

›Provider pricing at call time

›Per-model & per-team rollups

›Daily spend series

Personas

●FinOps analyst

●Finance / Procurement

●Product owner

●Team lead

Engagement04

Deployed in
your cloud

“

We don't ask you to guess budgets on day one, and we don't take a cut of your tokens. We deploy TollGate into your account, watch real spend for two weeks, hand you the report, and only then switch on the caps the numbers justify.

→ The TollGate engagement model

Step 01

Day 1

Deploy

Into your cloud account: gateway, ledger, dashboard. Teams and keys issued. No caps yet.

Step 02

Weeks 1–2

Observe

Every request metered per team and model. Pure attribution, nothing is blocked.

Step 03

Week 2 →

Enforce

Present the report, agree caps, switch on budgets and routing. Control, on real numbers.

Starter

$0.5–1.5k /mo

One provider, a few teams, <$5k/mo AI spend.

Growth

$1.5–5k /mo

Multi-team, ~$5–50k/mo AI spend.

Scale

$5k+ /mo

Multi-provider, $50k/mo+ AI spend.

Deploy

One-time setup

Deployment & onboarding into your cloud.

A managed-service retainer, banded by your AI spend and team count. Not per-seat, not a cut of your tokens. The observe-mode pilot tells us which band fits. Indicative ranges; scoped per engagement.

Why now05

Alerts
aren’t limits

AI spend has become a board-level number, while the controls underneath it are still emails, lag and goodwill. Nothing native enforces a budget at request time. That missing layer is the gate we build.

Gartner

Join the waitlist

Our first 50 founding teams get the two-week observe-mode pilot free, deployed in your own cloud. We’ll reach out in order.

Companies should get more out of every AI dollar. TollGate puts one control point in front of every model your teams call.

Control
from day one