The EU AI Act is often discussed as a legal framework. For architects and technology leaders, however, the harder question is much more practical: how do you translate regulation into architecture, governance and engineering decisions?

This session uses nVibes, a privacy-first European social platform, as a real-world case study for Responsible AI governance.

We will map AI use cases such as recommendations, content assistance, trust mechanisms and intelligent community features to governance requirements and risk categories. From there, we will examine practical controls around human oversight, data protection, transparency, model usage, documentation and operational accountability.

The focus is not on reading legislation slide by slide. Instead, I will show how teams can turn regulatory requirements into architecture decisions, engineering guardrails and repeatable governance processes.

Attendees will leave with a practical framework for connecting the EU AI Act, privacy-by-design and Responsible AI with real product development on the Microsoft Cloud.