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What if your next business team isn’t just made of humans, but also intelligent agents?
In this episode of Mastering AI with the Experts, I sit down with Simon Lacasse, Global Black Belt for AI at Microsoft and author of the white paper Scaling Agents for Enterprise. Simon is part of Microsoft’s SWAT team of AI experts, working with global organizations to bring multi-agent systems to life in real-world production environments.
We go deep into what’s actually changed in the last 12 to 18 months to make multi-agent systems deployable at enterprise scale, and why it’s no longer just research labs or prototypes. It’s happening right now.
You’ll learn:
Whether you're building agent infrastructure or just trying to keep up with the pace of AI change, this episode will make the architecture and strategy behind multi-agent systems finally click.
📌 Resources Mentioned
🔹 Scaling Agents for Enterprise – White Paper by Simon Lacasse
https://github.com/slacassegbb/azure-a2a-main/blob/main/Scaling_Agents_Enterprise.pdf
🔹 A Guide to Designing a Multi-Agent System – White Paper by Simon Lacasse
https://github.com/slacassegbb/WebBrowser_Example/blob/main/A%20Guide%20to%20Designing%20a%20Multi-Agent%20System.pdf
🔹 A2A Protocol (Agent-to-Agent by Google)
https://a2a-protocol.org/
🔹 MCP Protocol (Model Context Protocol by Anthropic)
https://modelcontextprotocol.io/
🔹 Simon Lacasse on LinkedIn
https://www.linkedin.com/in/simon-lacasse-3545386/
📬 Enjoyed this episode?
🔹 Subscribe to Mastering AI for Productivity, my newsletter
https://samuelboulangerai.substack.com/
🔹 Connect with me on LinkedIn
https://www.linkedin.com/in/samuelboulanger/
🔹 Visit my website
https://samuelboulanger.com/
By Samuel BoulangerWhat if your next business team isn’t just made of humans, but also intelligent agents?
In this episode of Mastering AI with the Experts, I sit down with Simon Lacasse, Global Black Belt for AI at Microsoft and author of the white paper Scaling Agents for Enterprise. Simon is part of Microsoft’s SWAT team of AI experts, working with global organizations to bring multi-agent systems to life in real-world production environments.
We go deep into what’s actually changed in the last 12 to 18 months to make multi-agent systems deployable at enterprise scale, and why it’s no longer just research labs or prototypes. It’s happening right now.
You’ll learn:
Whether you're building agent infrastructure or just trying to keep up with the pace of AI change, this episode will make the architecture and strategy behind multi-agent systems finally click.
📌 Resources Mentioned
🔹 Scaling Agents for Enterprise – White Paper by Simon Lacasse
https://github.com/slacassegbb/azure-a2a-main/blob/main/Scaling_Agents_Enterprise.pdf
🔹 A Guide to Designing a Multi-Agent System – White Paper by Simon Lacasse
https://github.com/slacassegbb/WebBrowser_Example/blob/main/A%20Guide%20to%20Designing%20a%20Multi-Agent%20System.pdf
🔹 A2A Protocol (Agent-to-Agent by Google)
https://a2a-protocol.org/
🔹 MCP Protocol (Model Context Protocol by Anthropic)
https://modelcontextprotocol.io/
🔹 Simon Lacasse on LinkedIn
https://www.linkedin.com/in/simon-lacasse-3545386/
📬 Enjoyed this episode?
🔹 Subscribe to Mastering AI for Productivity, my newsletter
https://samuelboulangerai.substack.com/
🔹 Connect with me on LinkedIn
https://www.linkedin.com/in/samuelboulanger/
🔹 Visit my website
https://samuelboulanger.com/