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This episode of the Azure Essentials Show brings the Armchair Architects—Uli, Eric, and David—together to tackle multi-agent architecture in the enterprise. You’ll get practical insights into orchestrating AI agents, preventing data leaks, managing costs, and choosing the right design patterns. The trio highlight real-world strategies, emerging tools, and actionable frameworks to help you build secure, scalable agent systems.
Resources
– Azure Architecture Center https://learn.microsoft.com/azure/architecture/
– AutoGen https://www.microsoft.com/research/project/autogen
– Introduction to Semantic Kernel https://learn.microsoft.com/semantic-kernel/overview/
– Microsoft Purview https://learn.microsoft.com/purview/
– Microsoft Fabric documentation https://learn.microsoft.com/fabric/
– Agent Framework documentation https://learn.microsoft.com/agent-framework/
Three important things you will learn
– How to architect and orchestrate multiple AI agents, including key patterns like specialist delegation, sequential workflows, and parallel agent reasoning.
– The importance of data leak prevention, security policies, and governance when deploying agents in enterprise environments.
– Practical considerations for agent design, such as cost management, model selection, and leveraging message-based systems for scalability and reliability.
Recommended Next Steps
– Review and apply message-based architectural patterns (such as those used in message brokers) as a foundation for agent orchestration.
– Explore open-source frameworks like Microsoft Research Autogen and Semantic Kernel to understand and experiment with multi-agent patterns.
Assess and implement data governance and security controls, including data leak prevention, for agent interactions within your organization.
Related Episodes
– Watch more episodes of Armchair Architects https://aka.ms/ArmchairArchitects
– Watch more episodes of the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Connect
– David Blank-Edelman https://www.linkedin.com/in/dnblankedelman/
– Uli Homann https://www.linkedin.com/in/ulrichhomann/
– Eric Charran https://www.linkedin.com/in/ericcharran/
Chapters
00:00 Hey! Good news!
00:29 Welcome architects
01:17 Top things to consider
02:30 Data Leak Prevention (DLP)
04:21 Focused agents
05:45 Agent-to-agent conversations
07:04 Agents as employees
08:36 Cost considerations
09:00 Pattern considerations
11:15 Regression testing
12:12 Parallel pattern
13:38 Sequential pattern
13:51 Specialist pattern
15:05 Search engine example
15:35 Shopping agent example
15:55 Time as a factor
16:30 Negotiation and consensus pattern
17:43 Reviewer pattern
18:58 Message-based patterns
20:40 Check out AutoGen
22:07 PII Trust boundaries Read More Microsoft Developer
