Ground your AI agents with secure enterprise knowledge from various data sources including Bing, SharePoint, Microsoft Fabric, Azure AI Search, and third-party APIs.
Use the best model for the job, whether it's o3-mini, GPT-4o, Llama 3, Mistral Large, or other specialized models from OpenAI, Meta, and Azure AI Foundry.
Organisations are building custom agents with?Foundry Agent Service
“We are using Microsoft’s Semantic Kernel and?Foundry Agent Service (previously Azure AI Agent Service) to orchestrate multiple specialized AI agents and an orchestrator AI to coordinate them to answer questions as a team.”
Hirotaka Ito, Lead Engineer of AI, Digital System Platform Unit, Fujitsu
“The integration of?Foundry Agent Service (previously Azure AI Agent Service) and Microsoft Fabric helps us unlock the full potential of our data to generate insights and drive real value.”
Teppei Shimomori, Head of Business Engagement & IT Portfolio Management, NTT Data, Inc.
“Foundry Agent Service (previously Azure AI Agent Service) gave us the scale and security we needed to transform government interactions.”
John Tidwell, Chief Technology Officer, YoungWilliams
Foundry Agent Service?is a platform that empowers developers to securely design, deploy, and scale AI agents with ease. It works with a rich ecosystem of models from the Azure AI Foundry model catalog; knowledge sources such as Bing, SharePoint, Microsoft Fabric, and Azure AI Search; and more than 1,400 action connectors with Azure Logic Apps.
Agents are your AI assistants that can help you optimise business processes and enhance productivity across all areas of your business. They are available in a wide array of capabilities, tools, and levels of complexity depending on your organisation’s needs.
AI agents are powered by several key capabilities that make them far more dynamic and versatile than traditional systems. For example, agents can use tools such as web search, code execution, and calendars, while retaining memory of past interactions to inform decisions. The ability to plan, act, and react in real time allows these agents to provide adaptive solutions for a variety of use cases. AI agents can even critique their own performance and collaborate with humans to improve their output.
Foundry Agent Service?addresses a wide range of use cases, including: ?
Automating customer support by integrating with CRM systems to provide real-time assistance and resolve queries.
Enhancing productivity by automating routine tasks and workflows, such as scheduling meetings, sending reminders, and generating reports.
Improving decision-making by providing data-driven insights and recommendations based on real-time data analysis.
Developers can easily build enterprise-grade agents that are secure, scalable, and performant. They can ground their agents with relevant, secure enterprise knowledge, automate complex workflows, and use prebuilt tools for advanced data analysis. Additionally, developers can choose the best model for their needs and benefit from scalable, secure memory management.
Foundry Agent Service?helps ensure data security by allowing you to bring your own data storage and private virtual networks, ensuring no public egress for your data traffic. It also supports keyless setup and on-behalf-of authentication and provides OpenTelemetry-based tracing for monitoring agent performance.
Copilot Studio is a streamlined, low-code platform that emphasizes ease of use and native Microsoft 365 integration for rapid AI agent creation. Foundry Agent Service, on the other hand, is a flexible, pro-code solution with extensive developer tooling and continuous integration and continuous delivery (CI/CD) integration designed for complex enterprise scenarios. It uniquely supports multi-agent orchestration, enabling dynamic collaboration among specialized agents. Additionally,?Foundry Agent Service offers advanced security, compliance features, flexible model support, and a wide array of connectivity options, making it better suited for large-scale, regulated environments.
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