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Building an Agentic, AI-Powered Helpdesk with Agents Framework, Azure, and Microsoft 365

KonstantinosPassadis's avatar
KonstantinosPassadis
Learn Expert
Dec 02, 2025

In this post, we'll walk through the architecture for an "agentic" helpdesk solution built entirely on cloud-native services. We'll combine a blazing-fast FastAPI backend, resilient Azure Storage and Service Bus, the intelligence of Azure OpenAI, and the deep integration of Microsoft 365 (Teams, Planner, and Power Automate) to create a truly automated workflow.

The High-Level Architecture The core idea is to decouple the system. Instead of one large application doing everything, we split the process into distinct, scalable components. Ingestion: A lightw...
Updated Dec 02, 2025
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syedaayesha's avatar
syedaayesha
Copper Contributor
Apr 16, 2026

This is a really solid breakdown of an agentic helpdesk architecture, especially the separation between ingestion and async processing.

One thing I’ve seen in real-world implementations is that the decision layer becomes more powerful when combined with CRM-level automation. Mapping AI decisions to lead lifecycle stages or customer intent scoring can significantly improve response prioritization.

Also curious, have you tested adding feedback loops like user satisfaction or resolution success back into the agent to improve future decision accuracy?

I’ve been exploring a similar approach around https://growthlocal.com.au workflows and system integrations.

Would be great to hear your thoughts on scaling the decision-making layer further.