Foundry Platform Setup

Leadership Expects AI Results. Your IT Has No Platform to Deliver Them.

Azure is in place. 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.

ACTIVITIES:

• 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 (e.g. GPT-5) and enable Playground access for business users
• Document governance baseline: naming conventions, access policies, data residency rules

DELIVERABLES

• Production-Ready Foundry Environment: Foundry resource and project in Germany West Central — EU data residency configured and validated
• RBAC Concept: Documented role model (Account Owner, Project Manager, User) — implemented and tested
• Cost Management Setup: Azure Budgets, cost alerts, and reporting dashboard — active from day one
• First Model Deployment: GPT-5 ready in Playground, access enabled for defined user group
• Governance Baseline Document: Naming conventions, access policies, data residency rules, recommendations for next steps
• Complete Project Documentation: All configuration decisions captured without gaps, audit-ready