GoverningEnterprise AISpend

TOLLGATE

Make every AI dollar count. See where your LLM spend goes, give every team a budget, and control model access from one gateway on your infrastructure.

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Introduction01

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

“

Your best AI ideas deserve room to grow. Your budget deserves a plan. TollGate connects model usage to the teams and projects behind it, puts spending decisions at the point of request, and gives you the clarity to invest in what works.

Works with your providers
Amazon Bedrock
OpenAI
Anthropic
Google Vertex AI
Azure OpenAI
Impact02

Control
from day one

→

Know what your AI costs. Decide where it goes next. Turn scattered model usage into a clear picture of spend, ownership and control.

A
One gateway
Connect your configured model providers through a shared control point.
B
Every team
Give teams and projects clear budgets and accountable ownership.
C
Your cloud
Run licensed containers on infrastructure you control.
D
Every request
Trace governed usage back to its model, project and key.
E
Clear reports
See spend patterns and make the next investment with confidence.
F
Active control
Check applicable budgets before forwarding model requests.

More room to build. More control over the bill. One gateway connects your teams, models and budgets—on infrastructure you own.

Capabilities
01

Metering & Attribution

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

02

Budget Enforcement

Strict mode reserves estimated cost before forwarding; reservations that exceed the budget are denied.

03

Smart Routing & Fallback

Keep supported workloads moving with configured fallback routes for provider errors.

04

Spend Reporting

Turn model usage into clear, shareable reports by team, project and provider.

05

Budget Alerts

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

Results03

Enforcement that
actually enforces

Discuss a pilot →

Budgets & Enforcement

Deny a request when its estimated reservation exceeds an applicable budget
Raise a cap from the dashboard, then verify the next admission decision
Alert at 70 / 90 / 100% of budget, before it becomes a surprise
Implementation examples
›Give each AI workflow a defined spending allowance
›Raise a cap mid-month from the dashboard to unblock a launch
›Configure provider-error fallback; a budget denial is not bypassed by routing
Data sources
›Per-request spend ledger
›Team budgets & windows
›Virtual keys (hashed)
›Model-tier pricing
Built for your AI workflows
●Customer-facing AI products
●Internal assistants
●Business automation
●Shared model services

Metering, Routing & Reporting

Attribute reported usage to the teams and projects that generated it
Validate configured fallback routes for supported provider errors
Bring a clear spend report to your next business review
Implementation examples
›Find the teams and models driving your AI bill
›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
Built for your AI workflows
●Growing AI portfolios
●Multi-provider workloads
●Product development
●Company-wide AI adoption
Engagement04

Your infrastructure.
Your control.

“

Run TollGate as licensed containers on your own infrastructure. Keep your provider relationships, choose your workloads, and put your budgets to work. Sanrish supports your team from the first deployment through the pilot.

→  The TollGate engagement model
Step 01
Setup

Deploy

Install your licensed containers on your infrastructure and connect your chosen model providers.

Step 02
Validation

Observe

See usage by team, project and model. Establish a baseline and identify where your spend goes.

Step 03
Review

Enforce

Set budgets, configure the appropriate enforcement mode, and validate the controls against your workloads.

Licensed deployment
Let’s discuss
A license and support plan shaped around your workloads and deployment.

Tell us how you use AI. We’ll help you scope the right deployment.

Why now05

Alerts
aren’t limits

A bill tells you what happened. TollGate helps you decide what happens next—with visible ownership, request-time budget checks and controls your teams can act on.

Attribution

Identify which team and project generated each governed request.

TollGateLearn more
Budget decisions

Make budget decisions before a request reaches the model.

TollGateLearn more
Ownership

Bring AI spend control into your own infrastructure.

TollGateLearn more
FAQ06

Questions,
answered

What to know before putting your AI spend under control. If yours isn’t here, email rishit@trytollgate.com.

01What is TollGate?
TollGate is an AI gateway that gives you visibility and control over LLM spend. Route your applications through TollGate to track usage by team, project and model, apply budgets, and manage access—all from your own infrastructure.
02How does TollGate complement cloud billing tools?
TollGate connects model spend to the teams, projects and keys behind each request. It adds budget checks at the gateway, alongside the billing and cost-management tools you already use.
03Do our prompts, responses or API keys pass through TollGate’s cloud?
No. TollGate runs on your infrastructure. Your prompts, responses and provider credentials do not pass through a TollGate-hosted service. Your gateway connects directly to the model providers you configure, and you control its credentials.
04What happens when a team hits its budget?
With enforcement enabled, requests that fail the applicable budget check are blocked before reaching the model. An administrator can raise the cap, or wait for the budget window to reset. The enforcement mode is configured for your supported workloads; estimated reservations and verified cost bounds offer different levels of protection.
05Which providers and models does TollGate support?
TollGate integrates with Amazon Bedrock, OpenAI, Anthropic, Google Vertex AI and Azure OpenAI. Model, endpoint and enforcement-mode availability depend on the integration. We validate your required workloads as part of deployment.
06How does deployment work?
You receive a licensed container package to run on your own infrastructure, using your own model-provider accounts. Sanrish works with your team to scope installation, configuration, upgrades and support.
07How much does TollGate cost?
Contact us for a license quote based on your deployment, workloads and support needs. Your model-provider usage remains billed by your providers.
08How do we start a pilot?
Contact Sanrish to scope a pilot around your AI workloads and success criteria. Your pilot runs as a licensed deployment on your own infrastructure, with the evaluation period and support agreed before onboarding.
09Who is TollGate built for?
Any organization with significant LLM usage and spend. Whether you build AI products, run internal assistants or automate business workflows, TollGate helps you understand the bill, assign ownership and control what happens next.

Pass through
the gate first

Build more with AI. Keep control of the spend. Bring TollGate to your infrastructure.

Discuss a pilot →
rishit@trytollgate.com