5 sessions on Governance at APE XXL 2026 — 8 December at Dierenpark Apenheul.
Managing Azure Policy through the portal becomes a hassle once your tenant reaches a certain size — and with new AI services landing almost every month, good governance is key. A level-400 walk-through of Enterprise Policy as Code: desired-state strategy, managing policies, policy sets and assignments, and policy documentation as code.
A build-and-break story from production: 32 specialized AI agents assess a live Azure estate against the Well-Architected Framework — and the hardest part was never the prompt. Watch the system produce a plausible finding that is wrong, then catch its own hallucination live. Three reusable patterns for agent output you can actually trust.
Every Microsoft Fabric implementation starts the same way: someone clicks "New Workspace". That works for one. But what about 50? 200? With DEV, ACC and PROD for each? How Fabric became a fully automated, enterprise-ready platform using Terraform — a workspace vending solution where one definition provisions everything a production-ready environment needs.
Building one AI agent is easy; engineering a platform for thousands is another story. Which department is burning the most tokens? Does every agent in production follow your safety guidelines? A reference architecture for a centrally governed AI platform on Azure — token rate limiting, semantic caching and security through API Management and Microsoft Foundry, agent identity in Entra ID, deployed as a hub-and-spoke landing zone in code.
Everyone uses AI to improve their organization, but without care you drain your budget, increase energy usage, or create risks you never intended. Do you keep a leash on your AI? Practical governance and sustainability for your AI landscape with Azure API Management and Azure AI Foundry: content filtering, token-aware throttling, and caching.