Why AI Governance Becomes Critical with Agentic AI

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode breaks down why AI governance must evolve alongside agentic AI, drawing on the insights of Matthias Darblade. The conversation explores the EU AI Act, continuous compliance, and why the biggest business value often sits in high‑risk AI use cases. For organisations adopting agents, governance becomes a live system, not a one‑time checkbox, balancing innovation, responsibility, and trust at scale. 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/823   🎙️ What you’ll learn Why agentic AI turns governance into a continuous process How the EU AI Act affects organisations inside and outside Europe Where the real business value lies in high‑risk AI systems Why static compliance models fail for AI and agents How organisations can govern AI without slowing innovation ✅ Highlights “With this black box that needs to be governed and controlled.” “It gives you a certain sense of being safe regarding the regulators.” “It starts to become a lot, even for a company as big as Airbus.” “It’s definitely a live system.” “For AI, it will be a bit more complex.” “High risk is where most of the value lies for companies.” “You’re leaving a lot of money on the table.” “It needs to be running and monitoring in real time.” “You need to be respecting the law and proceed in a certain way.” 🧰 Mentioned ISO 24001: https://www.iso.org/standard/81230.html AI governance: https://www.oecd.org/ai/governance/ Agentic AI: https://www.ibm.com/topics/agentic-ai Copilot: https://www.microsoft.com/microsoft-copilot OpenAI: https://openai.com/ Gemini: https://ai.google/gemini/ ✅Keywords ai governance, eu ai act, agentic ai, ai compliance, high risk ai, ai regulation, autonomous agents, responsible ai, continuous monitoring, enterprise ai, ai oversight, ai strategy If you want to get in touch with me, you can message me here on Linkedin.Thanks for listening 🚀 - Mark Smith