Category: Multi-Agent
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Shipping a Multi-Agent Application on Azure: What Production Actually Looks Like

Users see a chat interface. They type a question, get an answer, maybe a chart. Simple. Behind that interface, a small fleet of agents queries data, runs spend-response curves, optimizes channel allocations, and renders plots. The work is analytical, not transactional: nothing they do writes back to source systems or changes external state. Underneath all…
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Securing Multi-Agent AI with Entra ID On-Behalf-Of: Per-User RBAC in LangGraph.

This is the first of two posts. This one focuses on the technical aspects; the next will address the CXOs perspective, providing a comprehensive unified point of view. Introduction When building AI-powered applications for the enterprise, a common challenge emerges: how do you maintain user identity and access controls when an AI agent queries backend…