AI initiatives will fall for those companies that focus on the model and interface without building a solid underlying foundation to drive tangible business value.
governance
Round of enhancements also includes simplified prompting during agent-building processes, new content moderation controls to govern sensitive material.
Initial release supports actions across agents, multiple AI models, and interoperability through the two most widely embraced interoperability standards.
New metrics provide visibility into usage patterns, while expanded controls improve governance over content sources in Purview platform.
The company and ISV partners deliver agents that inject new functions into Copilot, Defender, and other Microsoft platforms, driving significant growth in the security ecosystem.
The future — where users can describe outcomes in English and use AI to bridge intent and execution — isn’t limited to one AI tool. The real win comes when you use the right tool for the right work.
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.
Gain insights on AI industry strategy and governance from this discussion with Microsoft and Alithya representatives.
This panel examines how enterprises are moving from AI copilots to scalable, governed agent architectures that transform operations, customer experience, and core business systems.
WorkIQ-powered Copilot Cowork orchestrates complex tasks to the point that agents could take over one-fifth of any team’s work in the near term, while hastening the end of app-driven workflows.
At AI Agent & Copilot Summit 2026 in Torrey Pines, Christopher Lochhead argues that as AI makes knowledge and execution free, the future belongs to creators who differentiate and build entirely new categories of work.
Learn how readiness gaps, strong governance, and organizational trust determine successful Copilot and AI adoption in this session on responsible AI.
This session focuses on how to operationalize Copilot Studio agents at scale, covering the controls, governance, lifecycle management, and telemetry needed to run secure, production‑ready, multi‑agent programs.
This session shows how Microsoft 365 Copilot and agents stay secure and compliant while enabling fast, responsible AI adoption.
This session covers the five pillars of Agent 365 — Registry, Access Control, Visualization, Interoperability, and Security — with real-world Fortune 500 deployment examples.
This session outlines emerging best practices for securely governing unstructured data in AI systems, showing how identity, permissions, metadata, and retention work together to enable compliant, controlled retrieval.
This session explores Work IQ, focusing on its architecture, security and privacy design, and built‑in governance capabilities.
This session explores how AI connects to ERP and enterprise systems, focusing on security, safer integrations, and minimizing data exposure across connected apps and copilots.
Apply this concrete plan to move from idea to production in 90 days when integrating Copilot for production for optimal ROI.