Learn how to build and customize Copilot Agents in Copilot Studio to automate and tailor AI agents for your workflows.

Explore how to integrate Copilot Agents into daily workflows to boost productivity and provide real-time insights.

Microsoft Copilot Agents are quickly becoming a core part of modern enterprise applications, blending AI with workflow automation to accelerate digital transformation. With Microsoft Copilot Studio, developers and solution architects can design, extend, and integrate custom AI-powered assistants that operate securely within the Microsoft ecosystem. This session takes a deep dive into the technical capabilities of Copilot Studio and demonstrates how to build Copilot agents that go far beyond simple Q&A. We’ll cover end-to-end development patterns authoring conversational logic, integrating with Power Platform connectors, calling APIs and plugins, and leveraging Dataverse for secure data access. Attendees will also learn how to apply responsible AI principles, manage lifecycle deployment, and optimize performance in real-world scenarios. Technical Takeaways: By the end of this session, attendees will be able to: 1. Author and Customize Copilot Agents – Build a Copilot agent from scratch in Copilot Studio, design conversation flows, and implement prompt engineering patterns. 2. Integrate with Power Platform – Automate approvals, orchestrate workflows, and trigger Power Automate flows directly from Copilot interactions. 3. Connect to Data Sources – Use Dataverse, SharePoint, SQL, and external APIs to fetch, update, and process business-critical data securely. 4. Extend Functionality – Implement custom connectors, plugins, and API calls to extend Copilot beyond Microsoft 365 and tailor it for industry-specific use cases. 5. Enhance Productivity with AI – Embed capabilities like document summarization, knowledge mining, translation, and report generation into enterprise workflows. 6. Manage Governance and Deployment – Apply AI ethics, responsible usage, security, and monitoring practices to ensure compliance and scalable adoption. This session is designed for developers, solution architects, and IT professionals who want to move past demos and actually build enterprise-grade Copilot agents. Through real-world use cases and technical walkthroughs, attendees will leave with a blueprint for integrating Copilot Studio into modern business solutions.

Copilot can do more than you think - if you know how! 💡 🚀 In this session, you'll get the briefing for your “Mission: Extensibility”. You will learn how to extend Microsoft 365 Copilot using agents, connectors and automations - without additional licensing costs. 💰 🔍 What you can expect: 👉🏻 Ways & possibilities to extend M365 Copilot 👉🏻 Insights into Agents, Connectors & Co. 👉🏻 Agent Builder, Copilot Studio & Admin Center 👉🏻 Live demo and use cases Whether you already have experience or are curious to get started - this session will provide you with impulses, inspiration and immediately applicable know-how. 🎯 🧑🏻‍💼 Ready to turn your Copilot into a super agent? Then: mission accepted!

Microsoft Copilot Studio empowers organizations to build conversational agents that streamline work—but what if your business needs domain-specific intelligence beyond the standard models? That’s where Azure AI Foundry comes in. In this session, we’ll explore how to bring your own model (BYOM) from Azure AI Foundry into Copilot Studio, enabling copilots that are fine-tuned to your enterprise data and use cases. You’ll learn how to connect custom or pre-trained models—whether for document processing, forecasting, classification, or vision tasks—directly inside Copilot Studio, and orchestrate them into intelligent workflows. We’ll also cover governance, security, and responsible AI practices to ensure these integrations scale safely across the enterprise. By the end, you’ll see how BYOM unlocks the next level of enterprise-ready copilots—smarter, domain-aware, and tailored to your business needs.

In this session we will break down the stigmas on AI, and that it's not just ChatGPT and self driving cars. We will talk about how AI solutions can help any business in any sector. There will be demos of natural language processing, chatbots and predictive models. The demos will utilise the three Microsoft services: Azure AI services, CoPilot Studio and Azure AutoML. We will also go into use cases for a few key sectors including Manufacturing, Retail, Leisure, Education and Security

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

Why MCP? MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

• A growing list of pre-built integrations that your LLM can directly plug into
• The flexibility to switch between LLM providers and vendors
• Best practices for securing your data within your infrastructure

In this talk, we will discuss how we can use MCP with Azure AI Foundry and Copilot Studio to create AI Agents.

Hands-on workshop focused on building agents with Copilot Studio.

Dans cette session, je présenterai une automatisation avancée mise en place avec Power Automate et les model AI Build-in pour optimiser la gestion des demandes de support. Mon workflow analyse les emails entrants, utilise l'IA pour décider s'il est pertinent de créer un ticket, évalue l'urgence, assigne des labels, génère un ticket structuré en Markdown et l'attribue dynamiquement à la bonne personne en fonction de sa charge de travail et de son expertise. j'utilise aussi copilot studio pour créer une application teams et interagir avec les utilisateurs. Ce processus réduit le temps de traitement des demandes, améliore la réactivité des équipes et assure une meilleure distribution des tâches. La session mettra en avant les bénéfices concrets de l’IA appliquée à l’automatisation IT et fournira des recommandations pratiques pour les professionnels souhaitant implémenter des solutions similaires.

In this session, we’ll explore how Microsoft Copilot Studio’s AI-driven features streamline the creation of powerful, interactive agents, while also simplifying both the development and design processes. We’ll dive into AI Builder prompts for generative AI capabilities, generative orchestration for intuitive agent design, and generative answers for enhanced user engagement. We’ll also cover integrating Azure AI Foundry models for smarter, more sophisticated solutions.

Session will focus on: practical demonstrations, best practices, and real-world examples of combining Copilot Studio’s AI tools to simplify agent development and enhance user experiences.

What attendees will learn: Hands-on knowledge of seamlessly incorporating AI features into agents, from concept to deployment, using Copilot Studio’s unified environment.

Learn Modules: https://aka.ms/Agents-MicrosoftCopilot https://aka.ms/Studio-Documentation

Discover Copilot Studio's AI features, their functionality, and usage. Learn how to combine them to create powerful, engaging user experiences, simplifying development and design processes, and learning the skills to debug, troubleshoot, and improve Generative AI behavior, enhancing developers' efficiency and innovation.