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
Subscription Setup: Validated, with a dedicated resource group for AI workloads
Foundry Resource: SKU S0 with custom subdomain and project management, both fixed at creation
Project and RBAC: Roles assigned to Entra security groups, least privilege, never to accounts
Data Residency and Encryption: Data Zone Standard in an EU region, CMK where required
Cost Management: Azure Budgets, alerts, token quota per deployment, and cost per use case
First Deployment: Chat model deployed with Playground access for business users
Guardrails and Governance: Responsible AI defaults, prompt handling facts, naming and access rules
Next steps after Microsoft Foundry Platform Setup
A cleanly configured tenant is the foundation. These blueprints build directly on it
