Enterprise AI Gateway & Usage Control

Centralize business AI access through a managed gateway that can route requests to approved providers, track usage and cost, enforce application or team limits, record failures, and apply operational controls before AI becomes scattered across the company.

AI GatewayUsage ControlCost Tracking
Starting from $3,000Optional monitoring, maintenance, and usage review

The problem

As teams add AI to more applications, each project tends to bring its own API keys, model choices, billing, logging, and failure handling. Costs become difficult to explain, provider changes become painful, and nobody has a reliable view of how AI is being used.

Who it's for

Companies running several AI-enabled applications, assistants, automations, or internal tools that want centralized control over providers, models, credentials, costs, limits, and operational visibility.

The outcome

AI applications use a shared control layer instead of managing providers independently. The business gains clearer usage and cost visibility, safer credential handling, easier model changes, and a consistent place to apply limits, logging, and fallback behaviour.

What STYD delivers

STYD reviews the applications and AI providers in scope, designs a gateway around the required access and routing rules, centralizes approved provider credentials, adds usage and cost logging, configures model or application limits and fallback behaviour where useful, exposes the gateway through controlled APIs, and validates it against the client's real workloads before handover.

Pricing

Starting at: Starting from $3,000
Monthly option: Optional monitoring, maintenance, and usage review

Typical starting point — final scope and price are confirmed after a short review of your setup.

Available after scoping

This service is available — tell us about your setup and we'll confirm scope, hosting, and pricing.

Available as project-based setup with optional STYD hosting, maintenance, and monthly support.

FAQ

Does this replace OpenAI, Anthropic, Gemini, or other providers?

No. The gateway sits between your applications and the providers you approve, giving you one controlled integration layer instead of coupling every application directly to one vendor.

Can it track AI costs by application?

Yes, when the provider and model expose the usage information required. Tracking can be organized by application, workflow, team, or another agreed identifier.

Can different applications use different models?

Yes. Routing rules can allow different applications or workloads to use different approved models, and fallback behaviour can be scoped where it makes operational sense.

Does it prevent every possible AI misuse?

No. A gateway improves central control and visibility, but security also depends on application design, permissions, data handling, provider settings, and organizational policy.

Can this be deployed privately?

Yes. Hosting and network boundaries are chosen during scoping, including private or client-controlled deployment where required.

Interested in Enterprise AI Gateway & Usage Control?

Tell us about your setup and we'll confirm fit, scope, and pricing.