Optimize Complex Workflows with Multi-Agent AI Patterns in Azure
In this Azure Essentials Show episode, Thomas Maurer and Clayton Siemens from Microsoft break down practical multi-agent AI orchestration patterns for enterprise workflow optimization.
Optimize Complex Workflows with Multi-Agent AI Patterns in Azure
Presented by: Thomas Maurer & Clayton Siemens, Microsoft
Overview
This episode of the Azure Essentials Show explores how multi-agent AI orchestration in Microsoft Azure can be used to solve complex enterprise workflow challenges. The discussion moves beyond simple information retrieval, highlighting the business value of coordinated AI agent actions and automation.
Key Takeaways
- LLMs vs. SLMs:
- Large language models (LLMs) provide broad capabilities, but small, specialized language models (SLMs) are often preferred for targeted enterprise tasks.
- Specialization leads to better performance and relevance for specific business scenarios.
- Orchestration Patterns:
- Sequential: Tasks handled in a set order (e.g., data collection → enrichment → report generation).
- Concurrent: Multiple agents operate simultaneously, parallelizing subtasks for efficiency.
- Group Chat: Agents collaborate as a team to reach shared decisions or synthesize insights.
- Hand-off: Control and context pass between agents, allowing for modular, dynamic task delegation.
- Enterprise Impact:
- Agentic AI can significantly enhance agility, scalability, and governance in enterprise automation workflows.
- Proper pattern selection is crucial—choose multi-agent architectures for complex, interdependent tasks over simple single-agent solutions.
Practical Applications
- Implementation guidance and real-world examples are covered to illustrate each orchestration strategy.
- Recommendations for using Azure AI Foundry and Semantic Kernel for building and orchestrating agents are provided.
Suggested Steps
- Review Microsoft Learn: AI agent orchestration patterns
- Explore Semantic Kernel Agent Orchestration
- Get hands-on with Azure AI Foundry
- Watch more Azure Essentials Show episodes for in-depth enterprise AI scenarios
Related Resources
- Agent Factory Blog: The new era of agentic AI—common use cases and design patterns
- Build Smarter Agents with Azure AI Search
Connect with Presenters
The video provides a roadmap for using Azure-powered multi-agent AI solutions, from high-level orchestration strategies to hands-on implementation frameworks.