Summary

In this module, you learned how to design AI agent architectures that scale with business demand, provide deep visibility into cost drivers, and support long-term governance. You explored reference architectures, best practices, multi-agent design options, and financial design principles that ensure operational efficiency, cost control, and strategic alignment.

Learn more

• AI architecture design
• What is an Azure landing zone?
• AI Ready
• Baseline Microsoft Foundry chat reference architecture
• Designing Multi-Agent Intelligence - Microsoft for Developers
• Multi-agents design options - Multi-agent Reference Architecture
• AI agent orchestration patterns
• Azure FinOps Blog -- Provisioned Throughput Reservations
• Azure Cloud Adoption Framework -- AI Governance
• Govern AI costs on Azure platform services
• Manage AI costs
• Cost management for AI infrastructure
• Recommendations for optimizing data costs -- Azure Well-Architected Framework
• Unlock Cost Savings with Microsoft Foundry Provisioned Throughput reservations
• Explore Microsoft Foundry Models - Microsoft Foundry
• How to use model router for Microsoft Foundry
• Introduction to analyzing costs and creating budgets with Microsoft Cost Management
• The Business Guide to AI Solutions: Making sense of assistants, agents, and custom AI
• Choosing the right AI path for your business: A practical guide for business leaders