In October, Microsoft introduced AI agents to its Dynamics 365 platform. At the Ignite event, the company revealed plans to expand these AI capabilities to other products like SharePoint and Microsoft Copilot 365. Enterprises need to manage the AI agents they deploy, ensuring these agents adhere to workflows and access only permitted data. Microsoft's new Azure AI capabilities support developers in building tools for evaluating and managing AI agents at scale to address these challenges. The Azure AI Foundry software development kit provides a toolkit for customizing, testing, deploying, and managing AI applications and agents. This SDK allows developers to control and customize AI apps within their tech environment. According to Microsoft, the preview of the SDK includes 25 templates and an integrated library of models to support scalable development. The Azure AI Foundry portal, previously known as Azure AI Studio and also in preview, gives developers a visual interface for assessing models and tools. It permits management of app access. Microsoft stated that AI Foundry integrates with other tools like GitHub, Visual Studio, and Copilot Studio. As AI agents become increasingly central to the AI ecosystem, enterprises are keen to manage their interactions.

Azure AI Agent Service helps companies create orchestration frameworks for automated workflows. “With features such as bring-your-own storage and private networking, it will ensure data privacy and compliance, helping organizations safeguard their sensitive information, ” Microsoft said. AI Agent Management AI agents have become a major trend in enterprise AI this year, expected to grow as more companies begin using them. Providers such as Microsoft and Salesforce offer customers access to agents or a no-code way to build them. Microsoft is also researching collaboration between multiple agents through a new framework named Magentic-One. In an ideal setup, AI agents would manage workflows autonomously without needing constant human prompts. Companies are starting to use multiple agents to trigger activities and grow their agent ecosystems. To ensure agents perform effectively, some providers develop orchestration agents to oversee and coordinate them.