AI is evolving — and it’s time to think beyond simple chatbots. In this session, learn how to design Autonomous AI Agents using Microsoft Copilot Studio that not only respond to user queries, but also proactively complete tasks, orchestrate workflows, and act with context and purpose. We’ll explore how Copilot Studio now supports multi-step reasoning, adaptive planning, and integrations across Microsoft 365 and external APIs — unlocking a new generation of agents that go beyond conversations to drive real action. Topics we’ll cover: What makes an AI Agent autonomous (vs a traditional chatbot) Building multi-step reasoning and action planning into your Copilot workflows Integrating Copilot Agents with Power Platform, Dataverse, and external systems Real-world examples of Autonomous Agents in enterprises and government Whether you're looking to automate internal processes, client services, or complex decision-making, this session will help you move from reactive chatbots to proactive AI agents.

Intelligent agents are revolutionizing how enterprises approach automation, decision-making, and customer interactions. Microsoft AI Framework offers a robust platform to design and implement AI-driven agents that seamlessly integrate into enterprise ecosystems. In this session, we’ll explore: - The fundamentals of building intelligent agents using Microsoft AI Framework. - Practical applications of agents in enterprise environments, such as process automation, customer service, and predictive analytics. - How to integrate these agents with Microsoft Teams, Power Platform, and Dynamics 365 to drive operational efficiency. This session will feature live demonstrations, including use cases of intelligent agents deployed across various industries. Attendees will gain insights into best practices for scalability, security, and adoption while learning how to leverage AI agents to transform enterprise workflows and enhance business outcomes.

Learn how to build secure, enterprise-grade AI chatbots in Microsoft Copilot Studio—while ensuring your data stays compliant, discoverable, and trusted. In this session, we’ll walk through how to harness Microsoft Copilot Studio to create conversational AI agents connected to internal data sources like SharePoint, Dataverse, and Microsoft 365. But building chatbots is just half the story. We’ll also explore how to use Microsoft Purview to establish guardrails—ensuring data classification, access control, and compliance are built into your AI workflows from day one. Key takeaways: Connecting Copilot Studio to enterprise data sources Designing user-friendly bot flows Implementing data governance with Microsoft Purview Building trust and control into AI conversations Real-world examples of public sector and enterprise deployments

Governments are starting to use AI agents to improve how services are delivered—from permits and public works to citizen support. These “Civic Agents” are helping staff work more efficiently and making public services easier to access. In this session, we’ll look at real examples from local governments already using AI, and share a simple 5-step framework (Purpose, Pilot, Playbook, Production, Performance) for scaling these solutions. Whether you're in tech or public service, you’ll walk away with practical ideas to start or grow your AI journey.