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Beyond Chat: Building Real Business Value with Microsoft 365 Copilot Agents featuring Steve Corey [MVP]

Beyond Chat: Building Real Business Value with Microsoft 365 Copilot Agents featuring Steve Corey [MVP]

Season 2 Published 3 weeks, 4 days ago
Description
Artificial intelligence is rapidly moving beyond simple chat interfaces. Organizations are no longer asking AI to answer questions—they're building intelligent agents that automate business processes, integrate with enterprise systems, and work alongside employees as true digital teammates. In this episode of the M365 Show, Mirko Peters is joined by Microsoft MVP Steve Corey to explore Microsoft 365 Copilot Agents, Copilot Studio, Azure AI Foundry, governance, security, and the future of enterprise AI. Whether you're an IT decision-maker, developer, architect, or Microsoft consultant, this conversation provides a practical roadmap for building AI solutions that create measurable business value.

WHY AGENTS ARE MORE THAN JUST ADVANCED PROMPTS
Steve explains why Microsoft 365 Copilot Agents represent a major evolution beyond traditional AI chat experiences. While Microsoft 365 Copilot acts as a general-purpose assistant across Microsoft 365, agents are designed to perform highly specialized tasks exceptionally well. Instead of answering every possible question, an agent focuses on a single business process, follows detailed instructions, accesses specific knowledge sources, and uses connected tools to complete work reliably and consistently. This specialization enables organizations to automate repetitive tasks while maintaining control and predictability.

THE THREE BUILDING BLOCKS OF EVERY AGENT
Every successful Microsoft Copilot Agent is built around three core components: instructions, knowledge, and tools. Steve explains how detailed instructions define the agent's behavior, knowledge provides the business information it needs to operate, and tools enable integrations with Microsoft Graph, SharePoint, OneDrive, Microsoft Teams, ServiceNow, Azure, and many other enterprise systems. Understanding these three pillars is essential for designing agents that deliver real business outcomes instead of simply generating impressive demos.

CHOOSING BETWEEN AGENT BUILDER, COPILOT STUDIO, AND AZURE AI FOUNDRY
Microsoft now offers multiple ways to build AI agents, but selecting the right platform depends on complexity rather than technical preference. Steve walks through the strengths of SharePoint Agents, Agent Builder, Copilot Studio, and Azure AI Foundry, explaining when no-code solutions are sufficient and when organizations should move toward pro-code development. Rather than starting with the most powerful platform, he recommends beginning with the simplest solution that meets the business requirement, reducing technical debt while simplifying maintenance and governance.

WHY GOVERNANCE MUST COME BEFORE AI
One of the strongest messages throughout the discussion is that successful AI adoption begins with governance—not technology. Before deploying Microsoft 365 Copilot or custom agents, organizations should review permissions, eliminate oversharing, classify sensitive information using Microsoft Purview, and strengthen identity controls with Microsoft Entra ID. AI dramatically improves information discovery, meaning poorly governed data becomes much easier for users to find. Governance, security, and compliance therefore become critical prerequisites for every enterprise AI initiative.

REAL-WORLD AGENT DEVELOPMENT IN ACTION
Steve shares practical customer scenarios demonstrating how organizations build business-focused agents. One example involves creating an intelligent SharePoint intranet assistant that helps employees instantly locate policies, procedures, documents, and internal resources without navigating complex site structures. Instead of replacing existing systems, the agent enhances user productivity by making enterprise knowledge far easier to discover through natural language conversations. Combined with organizational change management and user education, these agents significantly improve employee adoption
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