Audi AG builds secure, scalable AI assistant in just two weeks with Azure

AUDI AG is redefining enterprise support by automating repetitive tasks and delivering real-time, AI-powered answers to employees at scale. Facing rising employee demand for faster access to information, AUDI AG needed a smarter way to deliver answers—without increasing support overhead or compromising security.

Agent or tool: Azure OpenAI
Topic: DevOps & Infra
Reported on: Case study (Microsoft)
Added: 2026-11-11

Why it matters

Keeping servers and pipelines healthy is constant, detail-heavy work. Agents that can read logs and run routine fixes are a big help, as long as a person keeps an eye on what changes. It is one of 130 sightings filed under DevOps & Infra on Agent Sightings (number 90 by interest), and one of 31 involving Azure OpenAI.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Azure OpenAI or any similar agent and adjust the details to your situation.

I want an agent to investigate and propose a fix, and to wait for approval before changing production. The tool in the source case was Azure OpenAI.

Saved

Tip: Try it first on a staging system or with read-only credentials, and require approval for anything that changes production.

Source

Read the original first-hand account on Case study (Microsoft): https://www.microsoft.com/en/customers/story/24786-audi-ag-azure-ai-foundry. Our summary is a paraphrase; details are in the source.

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