Uploaded April 2026 | Updated September 2026, 2 weeks ago
Move your AI agents from prototype to production using Microsoft Foundry Agent Service. Deploy directly from your local environment, run with secure identity and scoped permissions, and monitor every interaction so you can debug, improve, and scale without losing control. Publish agents into the tools your team already uses and ensure every action is traceable, governed, and isolated.
Ground your agents in real work and business data to generate outputs that are actually useful. Pull from emails, meetings, and operational systems to create personalized insights, documents, and presentations. Build faster with familiar tools and frameworks, then manage performance, cost, and quality across all your agents as they scale.
Jeff Hollan, Partner Director, AI Agent Services, shares how to operationalize AI agents across your organization—from deployment to real-world impact.
► QUICK LINKS:
00:00 - Build single and multi-agentic workloads
00:44 - Build agents at scale with Foundry
01:33 - Demo: Sales meeting preparation agent
03:32 - How it works
04:48 - Access controls
05:44 - Publish the agent
06:23 - Direct integration with Microsoft 365
07:26 - Work IQ, Foundry IQ, & Fabric IQ
10:24 - Agent creation
11:21 - See what's happening in the code
12:54 - Manage performance
13:56 - Wrap up
► Link References
Go to the Microsoft Foundry to build your first project at ai.azure.com
Check out github.com/microsoft-foundry
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
• Subscribe to our YouTube: youtube.com/c/MicrosoftMechanicsSeries
• Talk with other IT Pros, join us on the Microsoft Tech Community: techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog
• Watch or listen from anywhere, subscribe to our podcast: microsoftmechanics.libsyn.com/podcast
► Keep getting this insider knowledge, join us on social:
• Follow us on Twitter: twitter.com/MSFTMechanics
• Share knowledge on LinkedIn: linkedin.com/company/microsoft-mechanics
• Enjoy us on Instagram: instagram.com/msftmechanics
• Loosen up with us on TikTok: tiktok.com/@msftmechanics
#AIAgents #AzureAI #MicrosoftFoundry #GenerativeAI
Move your AI agents from prototype to production using Microsoft Foundry Agent Service. Deploy directly from your local environment, run with secure identity and scoped permissions, and monitor every interaction so you can debug, improve, and scale without losing control. Publish agents into the tools your team already uses and ensure every action is traceable, governed, and isolated.
Ground your agents in real work and business data to generate outputs that are actually useful. Pull from emails, meetings, and operational systems to create personalized insights, documents, and presentations. Build faster with familiar tools and frameworks, then manage performance, cost, and quality across all your agents as they scale.
Jeff Hollan, Partner Director, AI Agent Services, shares how to operationalize AI agents across your organization—from deployment to real-world impact.
► QUICK LINKS:
00:00 - Build single and multi-agentic workloads
00:44 - Build agents at scale with Foundry
01:33 - Demo: Sales meeting preparation agent
03:32 - How it works
04:48 - Access controls
05:44 - Publish the agent
06:23 - Direct integration with Microsoft 365
07:26 - Work IQ, Foundry IQ, & Fabric IQ
10:24 - Agent creation
11:21 - See what's happening in the code
12:54 - Manage performance
13:56 - Wrap up
► Link References
Go to the Microsoft Foundry to build your first project at ai.azure.com
Check out github.com/microsoft-foundry
► Unfamiliar with Microsoft Mechanics?
As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.
• Subscribe to our YouTube: youtube.com/c/MicrosoftMechanicsSeries
• Talk with other IT Pros, join us on the Microsoft Tech Community: techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog
• Watch or listen from anywhere, subscribe to our podcast: microsoftmechanics.libsyn.com/podcast
► Keep getting this insider knowledge, join us on social:
• Follow us on Twitter: twitter.com/MSFTMechanics
• Share knowledge on LinkedIn: linkedin.com/company/microsoft-mechanics
• Enjoy us on Instagram: instagram.com/msftmechanics
• Loosen up with us on TikTok: tiktok.com/@msftmechanics
#AIAgents #AzureAI #MicrosoftFoundry #GenerativeAI
