From Demo to Production- Building Enterprise AI Agents That Actually Work with Microsoft Copilot Studio with Elliot Margot [MVP]

Paglalarawan

In this episode of the M365 Show, Mirko Peters speaks with Elliot Margot, Microsoft MVP for Microsoft 365 Copilot and Copilot Studio Team Lead at Witivio. Elliot shares a practical perspective on taking AI from an impressive demo to a secure, governed and genuinely useful enterprise solution. The conversation covers Microsoft Copilot Studio, multi-agent systems, enterprise RAG, MCP, Power Automate, governance, cost control and the human side of AI adoption.ㅤㅤFROM CHATBOTS TO ENTERPRISE AI AGENTSThe gap between a chatbot demo and a production-ready agent is much larger than it first appears. An enterprise agent needs a clear purpose, reliable data, carefully scoped tools, sensible fallback paths and a way for people to understand what it is doing. Elliot explains that organisations should not wait for a perfect governance model before experimenting—but they also cannot deploy AI blindly. The strongest approach is to learn by building small, useful solutions while steadily improving guardrails, monitoring and operating models.ㅤㅤGOVERNANCE IS A JOURNEY, NOT A BLOCKERGovernance, security and compliance are often the reasons enterprises hesitate to start with AI. Elliot makes the case for a balanced approach: establish the foundations, understand where data goes, apply Data Loss Prevention policies and sensitivity labels, but keep moving. Companies gain the most useful governance insights from real usage. AI evolves quickly, so governance cannot be treated as a one-time project; it requires ownership, continuous learning and administrators who know where to find the right controls across Microsoft 365, Power Platform, Purview and Copilot administration.ㅤㅤSELLING AI THROUGH REAL BUSINESS VALUEㅤExecutive sponsorship is not only about promising headcount reduction. The better conversation is about improving service, reducing repetitive work and giving teams more time for work that requires judgement and human connection. Elliot uses the example of IT support: even a modest reduction in repetitive Level 1 tickets can crea