Microsoft Foundry Platform Setup
Your production-ready AI platform on Azure. EU data residency, RBAC, cost management, and first model deployment — structured, configured, documented.
Leadership Expects AI Results. Your IT Has No Platform to Deliver Them.
Azure is in place. Copilot licenses may be too. What is missing: a structured, GDPR-compliant environment where AI models can be operated securely. Without this foundation, every AI initiative remains an experiment — no governance, no cost control, no path to scale.
This is not a failure of your IT team. It is reality: Microsoft Foundry is new, the documentation extensive, the configuration options complex. Starting without experience means weeks of trial and error — and an environment without clear structure at the end.
Traditional consulting for an AI platform setup? Quickly five figures. And the knowledge leaves with the consultant.
ACTIVITIES IN DETAIL
DELIVERABLES
Validate Azure subscription and create a dedicated resource group for AI workloads
Create Microsoft Foundry resource (SKU S0, EU region Germany West Central) with custom subdomain
Set up Foundry project and configure RBAC roles — least privilege based on team structure
Ensure EU data residency: deployment type Data Zone Standard, region Germany West Central
Set up cost management: Azure Budgets, cost alerts, token consumption monitoring
Deploy first model (GPT-4.1-mini) and enable Playground access for business users
Document governance baseline: naming conventions, access policies, data residency rules
Next steps after Microsoft Foundry Platform Setup
A cleanly configured tenant is the foundation. These blueprints build directly on it
