Microsoft 365 Copilot can be extended in different ways: from SharePoint Agents to Low Code Agents with Copilot Studio to Pro Code Agents with Visual Studio Code. In this session you will get an overview of the different types of implementation, learn about the advantages and disadvantages and see many demos. You will get the crucial hints to choose the best architecture for your AI Agents.

As Copilot and AI agents become integral to modern collaboration, organizations face a critical question: how do you move from experimentation to scalable, secure, and impactful deployment? In this session we will see a practical blueprint for establishing a successful AI agent strategy grounded in real-world experience across industries and teams.

In today’s hybrid enterprise landscape, bridging the gap between Microsoft 365 and SAP is no longer a luxury. It’s a necessity. In this session, we’ll walk through a practical blueprint for building a Microsoft 365 Copilot Agent that can securely read and write data to SAP systems. Whether you're looking to fetch real-time inventory data, update sales orders, or streamline HR workflows, this session will show you how to make it happen.

AI transformation is no longer about experimenting with isolated tools; it is about building the capabilities, governance, data foundation, and leadership alignment to create real business impact. In this session, you will learn what separates successful AI transformations from scattered AI adoption initiatives. We will show how organizations can combine top-down vision, bottom-up process innovation, employee adoption, data readiness, and scalable AI platforms into one coherent transformation model. Based on hands-on project experience, the session provides a pragmatic playbook for moving from productivity gains to measurable changes in customer experience, operations, and value creation. Join us to understand how to turn AI ambition into a sustainable transformation journey that creates competitive advantage today and prepares your organization for the agentic future.

Project Grail is our internal initiative to explore AI-first software engineering. By challenging a team to deliver an enterprise release without writing production code, we learned how much productivity AI can unlock, where trust and quality boundaries lie, and how developers feel when their role shifts from coding to orchestrating AI. In this session, we share the results, lessons learned, and what software development looks like after code.