As work shifts from apps to agents, this session spotlights Microsoft’s vision for AI collaborators that execute autonomously, securely, and with full business context at enterprise scale.

This session covers how AI agents turn ERP into a system of action, connecting data, decisions, and workflows to execute business processes at scale.

This session reveals the predictable failures of GenAI adoption, while delivering real-world case studies and a practical framework for using AI and agents to fix business models and drive value creation.

This session breaks down the strategic shifts, early moves, and practical starting points that separate successful AI practices from those that stall, following the AI journey of TD Synnex

Avalara shares insights on the growing role of AI in tax automation, applications of copilots in compliance workflows, and what to expect next from the company.

Gain insights on AI industry strategy and governance from this discussion with Microsoft and Alithya representatives.

Explore three powerful Copilot Studio innovations that help you get more value, efficiency, and impact from how you build and deploy copilots.

This panel examines how enterprises are moving from AI copilots to scalable, governed agent architectures that transform operations, customer experience, and core business systems.

Learn how to apply AI to solve real customer problems and drive growth from this session featuring practical examples of AI transformation.

This session provides a practical, hands-on guide to using Microsoft Fabric as the foundation for AI, analytics, and automation. Covering…

The conversation explores how orchestration—both technical and human—is becoming a critical capability, with organizations increasingly treating AI agents as part of the workforce that must be coordinated and managed effectively.

Day two of the AI Agent & Copilot Summit highlights the shift to reasoning-driven copilots, practical agent strategies, and real-world AI adoption.

Day 2 of the AI Agent & Copilot Summit included a variety of session formats designed to demonstrate real-world applications of agentic AI.

Dona Sarkar calls out the “tech bro”-driven AI hype machine and shares a blueprint to push AI into mainstream use cases that will deliver on the tech’s considerable promise.

Explore how elevaite365 Test Agent enables no‑code automated regression testing for Dynamics 365 F/SCM, powered by Microsoft Copilot MCP.

Learn from Paragon Films’ experience deploying AI in manufacturing, transforming speed, quality, and value within the industry.

Gain insights from Altman Plants on how aligning processes, data, and AI at massive scale can reduce waste, increase sell‑through, and turn operational complexity into a competitive advantage.

AI, automation, and agents are highlighted in this session through the example of Mater Hospital, as it transforms patient experience and healthcare operations at scale.

Learning Objectives Technology: Burn the Boats – We made a hard pivot: agents write all of our code now. No…

Dive into the why and how of decision-making for Copilot and AI adoption to modernize daily work in the manufacturing industry.

Learn from this panel about how to apply frameworks to make smarter, intentional decisions pertaining to AI adoption.

This panel explores practical strategies and real‑world examples for reskilling people with AI to build a future‑ready, human‑centered workforce.

Learn about a breakthrough AI agent designed specifically to work with executives to strategically achieve annual goals and initiatives.

This Innovation Burst session breaks down core Copilot Studio components for building custom agents, designing conversation flows, and data integration strategies.

Explore recent AI updates to machine learning software to enhance core business functions managed by the Microsoft stack.

Learn how an agent can leverage quality insights and end-to-end traceability to move from reactive to productive recall management in this Innovation burst.

Apply the framework from this session to help identify, priority, and launch AI wins with minimal investment.