# Unified API & AI platform — Use case

> One platform for every API and every AI call — same audit, same identity, same permissions, same kubernetes. The technology bet you only have to make once.

*Executives · Strategy · For executives*

## One platform. Every API. Every model. Every agent.

AI is just another protocol on the gateway. Apinizer runs your REST, SOAP, gRPC, WebSocket, and GraphQL alongside your LLM, MCP, and A2A traffic — with the same audit, identity, and access controls.

[Request a demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs)

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## The problem

*The problem*

### AI doesn't get its own platform. It gets a bypass — or a duplicate.

When the AI team needs a gateway, the org has two bad options: bolt a second platform on top of the first (and budget two of everything — identity, audit, ops), or skip the gateway entirely (and watch model traffic disappear from the books). Apinizer's unified plane gives executives a third option: one stack, every protocol, every audit, every dashboard — including AI.

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## At a glance

- **1** — platform
- **10+** — protocols (REST · SOAP · gRPC · GraphQL · WS · MCP · A2A · LLM …)
- **0** — duplicate budgets

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## Capabilities

### Every protocol, one runtime

REST, SOAP, gRPC, WebSocket, GraphQL, and AI traffic — LLM, MCP, agent-to-agent — handled by the same gateway, the same way.

### One identity surface

OAuth2, OIDC, JWT, LDAP, AD, SAML — wired once, reused everywhere. AI consumers authenticate like API consumers.

### One audit ledger

Every request, every change, every grant — captured at the framework boundary. The AI plane is not an audit gap.

### AI Gateway as a first-class lane

Multi-LLM routing, MCP server governance, A2A registry, semantic caching, prompt firewalls — without leaving the platform.

### Shared lifecycle

Same design, ship, version, retire flow for API and AI endpoints. Same APIops manifests. Same promotion path.

### Shared observability

One Elasticsearch-backed analytics surface. API traffic and AI traffic on the same dashboards, joined to the same audit timeline.

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## Real-world examples

### Banking

**Scenario:** Istanbul Tier-1 bank consolidates 2 gateways and 1 AI router

**Outcome:** Two API gateways and a separate AI gateway POC become one platform. Identity, audit, and ops budgets reclaim two FTEs in the first year.

**Metric:** 3 stacks → 1

### Automotive

**Scenario:** Munich OEM unifies vehicle telemetry APIs and copilot LLM traffic

**Outcome:** Connected-car APIs and the in-vehicle assistant share the same gateway, same identity, same audit. Auditors stop asking 'what about the AI part'.

### Government

**Scenario:** Riyadh ministry ships a citizen-services chatbot under existing controls

**Outcome:** The chatbot is just another endpoint. Authentication, audit, and rate-limit policies inherited from the citizen API surface — no new compliance memo.

### Insurance

**Scenario:** Paris insurer puts claims AI behind the same gateway as claims APIs

**Outcome:** Underwriting model calls go through the same access control as claims data. One dashboard for both; one regulator answer for both.

### Telecom

**Scenario:** Milan carrier retires a vendor AI router after 5 months

**Outcome:** Multi-LLM routing, semantic caching, and observability arrive in Apinizer. The standalone AI gateway is decommissioned; ops sleep easier.

**Metric:** 1 vendor retired

### Retail

**Scenario:** Amsterdam retailer governs supplier API and supplier-agent A2A traffic together

**Outcome:** B2B partners hit the same gateway; their integration agents register on the A2A registry. Same SLA, same audit, same identity.

### Public sector

**Scenario:** Prague ministry consolidates 7 ad-hoc API surfaces into one

**Outcome:** Each department had its own gateway. Apinizer brings them onto one Manager with project scopes. Cost-to-serve drops; cross-department flows stop hand-rolling.

### Energy

**Scenario:** Baku utility puts MCP servers next to SCADA APIs

**Outcome:** Operations agents hit MCP servers through the gateway. The audit, identity, and permission model is the one operators already trust for SCADA.

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## Recommended modules

- [API Gateway](https://apinizer.com/products/api-gateway) — Multi-protocol runtime that handles every traditional API on one plane.
- [AI Gateway](https://apinizer.com/products/ai-gateway) — AI lane on the same gateway — multi-LLM routing, MCP governance, A2A registry, prompt firewalls.
- [Identity Manager](https://apinizer.com/products/identity-manager) — One identity surface for API consumers, AI consumers, and agent identities.
- [Analytics Engine](https://apinizer.com/products/analytics-engine) — Shared dashboards for API and AI traffic — joined to the same audit timeline.

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## Resources

- [Unified platform overview](https://docs.apinizer.com/en) — How API and AI traffic share the same Manager, Workers, audit, and identity surface.
- [Architecture overview](https://docs.apinizer.com/en/concepts/architecture) — The full topology — control plane, data planes, AI lane, identity surface.
- [AI Gateway](https://apinizer.com/products/ai-gateway) — What the AI lane looks like — and why it doesn't need a separate stack.
- [AI Gateway lane](https://apinizer.com/solutions/ai-gateway) — The AI plane on the same Manager, Workers, audit, and identity surface as your APIs.
- [Customers](https://apinizer.com/company/customers) — Banks, ministries, defense, telecom — teams running one platform for both API and AI.
- [Why Apinizer](https://apinizer.com/why-apinizer) — Engineering choices that let one platform carry both protocol surfaces.

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## Related use cases

- [Legacy modernization](https://apinizer.com/solutions/legacy-modernization) — For executives
- [AI cost control](https://apinizer.com/solutions/ai-cost-control) — For executives
- [AI Gateway](https://apinizer.com/solutions/ai-gateway) — For AI teams
- [Multi-LLM routing](https://apinizer.com/solutions/multi-llm-routing) — For AI teams

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## Next step

*Make the bet once*

**One platform for every API and every AI call.**

A 30-minute walkthrough — API plane, AI plane, shared identity, shared audit — on a Kubernetes of your choice.

[Book a Demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs)

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## Links

- Products: https://apinizer.com/products
- AI Gateway: https://apinizer.com/products/ai-gateway
- Solutions: https://apinizer.com/solutions
- Pricing: https://apinizer.com/pricing
- Developers: https://apinizer.com/developers
- Documentation: https://docs.apinizer.com/index-en
- Blog: https://apinizer.com/blog
- Contact: https://apinizer.com/company/contact

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