Check access and budget
Confirm the caller, the allowed models, and the available budget before committing money.
AI Gateway HQ sits between your software and the AI services it calls. It checks who is asking, what they are allowed to use, what the request may cost, and where it should go—before a provider charges you. Your applications keep one connection while administrators change limits, providers, and backup rules centrally.
A gateway does not replace the AI models your teams choose. It gives the business a consistent control point before and after those models are used. Read the plain-language AI gateway guide.
Confirm the caller, the allowed models, and the available budget before committing money.
Select an eligible provider and use a compatible backup when operating conditions require it.
Attribute activity to its owner and retain the decision, timing, and cost metadata needed for review.
Use the best eligible provider for the job, and move to a compatible backup when a provider is slow, unavailable, or over budget.
See how it worksSet model, tool, data, and usage rules once. The gateway checks them before a request reaches an AI provider.
See how it worksGive each workload its own limited gateway key while identity, provider credentials, and audit evidence stay centrally controlled.
See how it worksApply prepaid balances and hard limits by company, team, or workload, then reconcile the estimate against reported usage.
See how it worksControlled requests can be tied to the company, workload, budget, and company-approved result they support. A company keeps authority over its evidence while an authorized parent or investor can review a consistent portfolio view.
Use a 12-test scorecard to check integration, identity, routing, failure handling, hard budgets, cost reconciliation, policy, retention, audit evidence, enterprise access, isolation, and release proof.