Azure AI Foundry

[Henry Hudson]

I’ve been exploring how enterprises are using Azure AI Foundry for building and managing AI solutions.

It seems interesting for governance and scaling AI workloads, but I’m curious how teams are actually implementing it in production.

Has anyone here worked with it or tested it yet?

• This discussion was modified 4 weeks, 1 day ago by  Henry Hudson.

[Nikee-TutorialsDojo]

Hi Henry,

Great question! Microsoft AI Foundry, formerly known as Azure AI Foundry, has gained significant attention, particularly among organizations aiming to build, evaluate, and manage AI solutions at scale.

From what we’ve seen so far, teams are typically using it for:

• Centralized model and prompt management

• Model evaluation and comparisons

• Governance and responsible AI controls

• Managing datasets, deployments, and AI workflows across projects

Many teams are still in the experimentation or pilot stage, but it’s becoming useful for enterprises that want a more structured AI development and lifecycle management process.

If you’re interested in trying it out, we also have Azure PlayCloud labs available where you can get hands-on access to Microsoft Foundry in a guided environment. This lets you explore the platform and its features without needing to set everything up manually.

We’re here to help! Please reach out to us if you need any assistance.

Regards,

Nikee @ Tutorials Dojo