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Use cases

What teams use Opsta AI Gateway for.

One governed control point, three high-value outcomes — all self-hosted, with your data staying in your environment.

Use case 01

AI cost governance & chargeback

Every team calls LLMs directly, with no caps and no attribution. The monthly bill arrives as a surprise, and no one owns it. Finance can't forecast spend; platform owners can't see who is driving it.

Platform owners Finance / FinOps Engineering leaders
How Opsta solves it
  • Hierarchical USD budgets — org → project → group → user; the tightest cap wins and stops overruns before they happen.
  • Per-token, per-model pricing, so every figure is real spend, not estimates.
  • Semantic cache reuses answers for similar prompts to cut upstream cost.
  • Usage & cost dashboards per org, project, group, and user — chargeback-ready.
Outcome: predictable spend, per-team accountability, and usage data you can charge back.
Use case 02

Safe AI for regulated & air-gapped environments

You can't send sensitive prompts through a third-party cloud you don't control. Compliance demands data residency, access control, and an audit trail — and some environments have no internet egress at all.

Banking & financial services Security & compliance Government / healthcare
How Opsta solves it
  • Self-hosted in your cluster — request content, telemetry, identity, and audit never leave your environment.
  • Runs fully air-gapped: mirror every image, issue TLS from an internal CA, broker identity in-cluster.
  • PII masking + prompt-injection guardrails, verified-identity RBAC, and per-organization isolation.
  • Full audit log of every action, including denials — the evidence auditors ask for.
Outcome: adopt AI without data leaving your environment — auditable, compliant, with a banking-grade managed-service option.
Use case 03

A drop-in OpenAI-compatible gateway

Your apps are wired to one provider's API. Switching providers, or adding governance, means touching code in every service — so nothing gets governed and you stay locked in.

Application teams Platform engineering AI / agent developers
How Opsta solves it
  • OpenAI-compatible /v1 endpoint — point existing apps, SDKs, and tools (e.g. opencode) at the gateway with no code change.
  • Logical model names route to any provider — OpenAI, DeepSeek, Anthropic, or self-hosted — switched centrally per project.
  • Governance (keys, budgets, guardrails, audit) is applied transparently, without app changes.
  • The same gateway also governs AI-agent (MCP) tool traffic.
Outcome: migrate in minutes, govern centrally, and avoid provider lock-in.

See your use case on a live gateway.

Book a 30-minute demo and we'll run your scenario — cost control, guardrails, or on-prem — on a real deployment.

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