Building Multi-Agent AI Systems with Copilot Studio: From Ideas to Intelligent Automation with David Lorenzo Lopez [MVP]

Artificial Intelligence is rapidly evolving from simple chatbots into sophisticated multi-agent systems capable of automating complex business processes, collaborating across services, and delivering real business value. In this episode of the M365 Podcast, Mirko Peters sits down with Microsoft MVP David Lorenzo Lopez to explore the future of intelligent automation and how organizations can leverage Microsoft Copilot Studio, Azure AI Foundry, and the Microsoft Agent Framework to build scalable AI solutions.David shares his journey from web development and .NET programming to becoming a leading voice in AI-driven automation. He explains how the arrival of GPT models transformed the technology landscape and why the real challenge today is no longer generating impressive demos but creating measurable business outcomes with AI.WHAT ARE MULTI-AGENT AI SYSTEMS?One of the core topics of this conversation is the concept of multi-agent systems. David compares modern AI architectures to the evolution from monolithic applications to microservices. Instead of building one giant AI agent responsible for everything, organizations can create specialized agents focused on individual tasks and orchestrate them through a central coordinator.Key benefits include:Improved scalability and maintainabilityBetter task specialization and accuracyEasier testing and optimizationReusable AI components across multiple business scenariosGreater control over automation workflowsCOPILOT STUDIO VS AZURE AI FOUNDRYMicrosoft now offers multiple ways to build AI-powered solutions, and David explains when to choose each platform.The discussion covers how Copilot Studio enables rapid low-code development using Power Platform integrations, while Azure AI Foundry provides greater flexibility, customization, and scalability for advanced AI implementations. As Microsoft continues to integrate these platforms, organizations have more options than ever to match their technical and business requirements.Topics covered include:Copilot Studio connected agentsAzure AI Foundry orchestrationMCP connectorsKnowledge integrationLow-code versus pro-code developmentAI workflow design patternsHUMAN-IN-THE-LOOP AND RESPONSIBLE AIWhile autonomous AI systems are becoming more capable, David strongly advocates for maintaining human oversight in critical business processes. He explains why AI should support decision-making rather than completely replace it, especially when financial, legal, or operational risks are involved.The conversation explores:Approval workflowsHuman validation processesGovernance strategiesCompliance considerationsRisk mitigation for AI automationMICROSOFT AGENT FRAMEWORK AND THE FUTURE OF AI DEVELOPMENTA major highlight of the episode is Microsoft's new Agent Framework. David explains how the framework combines capabilities from Semantic Kernel and other Microsoft AI initiatives to create a powerful platform for building enterprise-grade agents.Listeners will learn how developers can:Create custom AI agentsBuild complex orchestration workflowsDeploy scalable AI solutionsIntegrate with Azure servicesDevelop reusable intelligent systemsGOVERNANCE, SECURITY, AND THE EU AI ACTAs AI adoption accelerates across Europe, governance and compliance have become essential topics. David discusses how Microsoft addresses security, data residency, privacy, and regulatory requirements through Azure AI services and emerging governance tools such as Agent 365 Control Plane.The discussion also covers:Data protection requirementsEuropean AI regulationsAzure OpenAI complianceModel selection strategiesAI governance best practicesCONTROLLING AI COSTS AND FINOPSOne of the biggest challenges organizations face is understanding and controlling AI costs. David explains why estimating AI consumption is difficult and how businesses can establish practical monitoring and optimization strategies.Learn about:Token consumptionCopilot Studio creditsPay-as-you-go modelsCost optimization techniquesAI FinOps best practicesKEY TAKEAWAYSThis episode delivers practical insights for architects, developers, IT leaders, and business decision-makers looking to move beyond AI hype and create sustainable business value through intelligent automation.David's final message is simple yet powerful: AI is a wave that is transforming every industry. Organizations and individuals can either let it pass over them or learn how to ride it. Those who embrace AI responsibly, strategically, and thoughtfully will be best posit