Microsoft's AI ecosystem has never been more powerful — but knowing how to architect, deploy, and operationalize agentic AI solutions on Azure is what separates partners who demo well from partners who deliver real business outcomes for their clients.
In this session, Jay Balaji, Director of AI/ML Engineering at Flextecs, walks Microsoft partners through a practical framework for building and selling enterprise-grade agentic AI solutions using the Microsoft stack. From Azure OpenAI Service and Copilot Studio to Azure AI Foundry and Semantic Kernel, Jay shares what it actually takes to move agentic AI from proof of concept into production — and how partners can differentiate their practice in an increasingly competitive AI market.
Key takeaways:

How to architect multi-agent pipelines on Azure that enterprise clients can trust and maintain
Practical patterns for combining Azure OpenAI, Semantic Kernel, and Azure AI Foundry for agentic workflows
How to build observability and governance into AI solutions from day one — a key enterprise buying requirement
Real-world lessons from deploying agentic AI at Fortune 500 scale across financial services and healthcare
How Microsoft partners can position agentic AI as a high-value, recurring managed service offering