Azure API Management Implementation deploys and configures an Azure API Management (APIM) instance as the governed front door for your APIs — whether they serve partners, internal applications, or AI agents. The engagement covers tier selection, instance deployment through infrastructure as code, a gateway policy baseline for security and rate limiting, OAuth 2.0 authentication with Microsoft Entra ID, a versioning strategy, developer portal configuration, and AI-gateway setup for Azure OpenAI / Azure AI Foundry endpoints where in scope — then onboards your first APIs onto the platform. Fixed price of $4,950 per project, delivered in about 2 weeks. The fixed scope covers one APIM instance in one region and onboarding of up to five APIs; building or modifying the backend APIs themselves is a separate service.
Teams usually arrive at API Management from one of three directions: a partner integration that outgrew shared API keys, an application portfolio with no consistent authentication or throttling, or — increasingly — AI agents and Azure OpenAI workloads whose token consumption nobody can see or cap. Azure API Management is Microsoft's policy enforcement point for all three. IT Partner implements it end to end: we select the right tier against your traffic, SLA, network, and budget requirements (Consumption, Developer, Basic, Standard, and Premium classic tiers, plus the v2 tiers; Microsoft's dedicated AI Gateway tier is in public preview as of August 2026 and we design production workloads on GA tiers); deploy the instance through Bicep or Terraform; establish a policy baseline — subscription keys, JWT validation against Microsoft Entra ID, rate limits and quotas, CORS, and transformations; configure versioning and revisions so you can evolve APIs without breaking consumers; stand up the developer portal with your API documentation; and, where AI workloads are in scope, put Azure OpenAI / AI Foundry endpoints behind the gateway with token-limit policies, token-usage metrics, load balancing with failover across model deployments, and semantic caching where a compatible Redis cache is available. We finish by onboarding up to five of your APIs and handing over documentation your team can extend. Designing and building the backend APIs themselves is explicitly out of scope.
Inventory the candidate APIs and consumers, capture traffic, SLA, network, and AI-workload requirements, and confirm the five APIs in scope.
Select the APIM tier with a written decision record and design the instance, policy baseline, authentication model, and versioning strategy.
Deploy APIM through Bicep or Terraform, including custom domain and certificate configuration where agreed.
Implement subscription keys, Entra ID JWT validation, rate limits, quotas, CORS, and transformations; validate against test consumers.
Import and configure the in-scope APIs, apply per-API policies, and verify end-to-end behavior against the backends.
Where in scope, front Azure OpenAI / AI Foundry endpoints with token-limit policies, usage metrics, load balancing with failover, and semantic caching if a compatible cache is available.
Configure the portal, publish API documentation, wire Application Insights and diagnostics, and test the consumer sign-up flow.
Run acceptance tests with your team, deliver the operations documentation, and hold the handover session.
The service covers tier selection with a written decision record, APIM instance deployment through Bicep or Terraform, a gateway policy baseline (subscription keys, Entra ID JWT validation, rate limits, quotas, CORS, transformations), OAuth 2.0 authentication, a versioning and revision strategy, developer portal configuration with published API documentation, Application Insights monitoring, and onboarding of up to five APIs. Where AI workloads are in scope, it also configures APIM as an AI gateway in front of Azure OpenAI / AI Foundry endpoints.
It depends on traffic, SLA, network, and budget — and the honest answer is that many teams over-buy. Consumption suits spiky or low-volume workloads with serverless pricing; Developer is for non-production; Basic and Standard cover most SMB production estates; Premium adds VNet injection, multi-region, and self-hosted gateways at a materially higher running cost. The v2 tiers provision in minutes and scale further, with different network options. We map your requirements to the current feature matrix and put the recommendation and its cost implications in writing before anything is deployed.
Yes — this is one of the strongest current reasons to deploy it. APIM's AI-gateway capabilities let you put Azure OpenAI and Azure AI Foundry endpoints behind governed policies: token-limit policies to cap consumption per consumer, token-usage metrics for cost visibility, load balancing with circuit-breaker failover across model deployments, and semantic caching to serve repeated semantically-similar prompts from cache. Every application or agent then gets a governed endpoint instead of a raw model key.
In 2026 Microsoft introduced a dedicated AI Gateway tier of API Management, in public preview as of August 2026, with a control plane oriented around models and AI tooling rather than classic APIs. Because it is preview — limited regions, no production SLA — we design production workloads on generally available tiers, which already carry the token-limit, metrics, caching, and load-balancing policies. If you want to evaluate the preview tier, we can include a review of it in the engagement.
No — this engagement assumes your backend APIs exist and function. APIM is the governance and security layer in front of them. If you need APIs designed or built, that is separate development work; for Microsoft 365 and Azure data integration our Microsoft Graph API service is the natural companion, and custom backend development is scoped as its own project.
At the gateway, with layers appropriate to each consumer type: subscription keys for basic consumer identification and quota assignment, and OAuth 2.0 with Microsoft Entra ID — validated by JWT policies at the gateway — for real authorization. Where the network design permits, we also close the loophole that matters most: making sure backends only accept traffic that came through the gateway, so nobody bypasses the policies by calling the backend directly.
A configured, basically-branded portal where consumers discover your APIs, read documentation generated from your OpenAPI definitions, sign up, and obtain keys — the self-service layer that removes you from every onboarding email thread. Custom portal development beyond configuration and basic branding (custom widgets, self-hosted portal code) is out of scope but can be quoted.
We configure APIM's versions and revisions to a documented strategy: revisions for non-breaking changes you can test and roll back, versions for breaking changes that consumers adopt on their own schedule. The handover documentation includes the exact pattern for shipping both kinds of change, so the strategy survives contact with your second API release.
The fixed price covers one APIM instance in one region, the policy baseline, authentication, versioning strategy, developer portal, monitoring, AI-gateway configuration where in scope, and onboarding of up to five APIs. Azure consumption is always yours: the APIM tier's monthly cost, Redis cache if semantic caching is wanted, and Azure OpenAI token usage. Additional APIs, multi-region designs, custom portal development, and ongoing operations are quoted separately.
About 2 weeks. The design and tier decision land in the first days, deployment and policy work fill the middle, and API onboarding, portal, and handover close it out. Classic-tier provisioning time and backend-team availability are the usual schedule risks; both are accounted for in the plan, and client-side delays extend the calendar rather than the fixed price.
Yes. Beyond fronting model endpoints, API Management is Microsoft's designated path for governing the APIs that agents call — your governed, authenticated, rate-limited APIs become safe tools for agent platforms instead of raw endpoints with shared keys. Microsoft is extending APIM's capabilities for exposing APIs to agent ecosystems (including Model Context Protocol support, in preview as of August 2026); we configure what is generally available and flag preview capabilities honestly.
Application Insights integration and diagnostic settings for the gateway: request rates, latencies, failures, and — for AI-gateway scope — token-usage metrics per consumer. Dashboards and alert rules beyond the configured baseline, and 24/7 monitoring of the platform, are available as optional add-ons through IT Partner's NOC and support partnerships.