Enterprise AI Gateway

AI access is everywhere. Control is scattered.

Bring model access, routing, policy and usage into a managed entry point.

How it fits together

  1. Authorized request
  2. Policy + routing
  3. Selected provider

What changes.

We implement a gateway around your chosen providers and enterprise requirements, using suitable existing products and adding the integration work your environment needs.

Yours to put to work.

  • Scope and acceptance criteria agreed together.

A gateway configuration

Provider connections, identity integration and scoped consumer access.

Routing and policy controls

Agreed routing, quotas, budgets and failure behavior.

Usage attribution

Operational logging and cost reporting by the dimensions your team needs.

See an example engagement

An example scope, adapted to your environment.

  1. The starting point: Several teams use different models without consistent access or usage controls.
  2. The work: Connect approved providers and apply team-level policies at a shared entry point.
  3. The handoff: A configured gateway, tested policies and attributable usage reporting.

How we evaluate the result

  • Authorized requests follow the intended provider and policy route.
  • Quota, denial and provider-failure scenarios behave as designed.
  • Usage can be attributed to the agreed teams, agents or applications.

A useful place to start

Let’s work through your specific problem.

Start with Enterprise AI Gateway, scoped to your environment.