Build a Smart Call Center with AI on Azure
Architecture & PoC of a smart call center on Microsoft Azure with LangGraph
Customer calls are one of the most valuable sources of business insight.
The question is how well you capture and use that information.
What if every call could be turned into structured data and used by agentic AI systems where agents actively handle tasks, fix issues, and support decision-making?
There are many ways to do it, but hereโs a simple architecture on Azure:
๐๐ป๐ด๐ฒ๐๐๐ถ๐ผ๐ป & ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด
Audio โ Blob โ Event Grid โ Queue โ Worker
๐จ๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด
- Content Understanding (turns audio into structured data)
๐๐ฎ๐๐ฎ & ๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น
- PostgreSQL (chat history, other structured data)
- Azure AI Search (RAG)
๐๐
- Microsoft Foundry + LangGraph (multi-agent orchestration)
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- Container Apps (exposes the system to users / clients)
Nothing fancy individually, but together, it turns raw calls into something agents can query, analyze, and act on in real workflows.
Full walkthrough + POC app: