My Microsoft Copilot is now JARVIS: This is how I built it

Most people are using Microsoft Copilot completely wrong.They treat it as a smarter search engine, a better chatbot, or a productivity feature tucked away inside Outlook, Teams, or Word. They ask a question, get an answer, and move on to the next task.But that's not JARVIS.In this episode of M365 FM, Mirko Peters explores how Microsoft Copilot can evolve from a reactive assistant into a true operating system for work. Instead of simply responding to prompts, JARVIS combines memory, reasoning, orchestration, governance, and automation to create an AI system that understands how you work, remembers what matters, and proactively helps you get things done.The future of AI isn't better prompts.The future is architecture.WHY COPILOT FAILS AT AGENCYThe biggest limitation of most AI systems isn't intelligence. It's memory.Every new chat starts from zero. The system doesn't remember your decisions, your communication style, your business priorities, or the lessons learned from previous projects. This forces users to repeatedly provide context and creates AI experiences that remain generic and reactive.Mirko explains why context windows are not memory, why chat interfaces are not workflows, and why true agency requires persistence, structure, and orchestration.Key concepts include:Context vs MemoryReactive vs Proactive AICopilot as a Feature vs Copilot as a PlatformThe Architecture GapTHE JARVIS MODELJARVIS is not a new AI model.It's an architectural pattern built on top of Microsoft Copilot that transforms AI from a tool into a system.The model consists of four foundational layers that work together to create agency, decision-making, and orchestration across Microsoft 365 and beyond.The four layers include:MemoryActionReasoningGovernanceTogether, these layers create an AI operating system capable of understanding context, executing workflows, making decisions, and operating safely within organizational boundaries.THE MEMORY LAYERMemory is the foundation of everything.Most organizations focus on storing information. JARVIS focuses on storing operational knowledge. Instead of simply saving documents and conversations, the system captures how decisions are made, how work gets done, and which rules should guide future actions.Learn how structured SKILL.md files create reusable capabilities that allow Copilot to understand workflows, communication preferences, decision frameworks, stakeholder relationships, and organizational knowledge.Discover why memory isn't about storing data.It's about encoding behavior.COPILOT COWORK AND THE EXECUTION LAYERMicrosoft's new Copilot Cowork capabilities fundamentally change how work gets executed.Rather than drafting content and waiting for manual action, Cowork orchestrates multi-step processes across Microsoft 365 applications. It can summarize meetings, draft communications, create presentations, schedule follow-ups, update systems, and coordinate workflows from a single goal.This episode explores how orchestration differs from assistance and why execution is the missing ingredient in most AI deployments.Topics covered include:Copilot CoworkMulti-Step OrchestrationMicrosoft GraphHuman Approval GatesEnterprise AutomationAGENT FLOWS AND DECISION MAKINGTraditional workflows follow predefined paths.Agent Flows introduce reasoning.Built on Power Automate and powered by Large Language Models, Agent Flows enable systems to evaluate context, identify exceptions, apply business rules, and choose the best path forward dynamically.Mirko explains how organizations can move beyond rigid automation and build systems capable of handling ambiguity, escalation paths, stakeholder sensitivity, compliance requirements, and real-world complexity.This is where automation becomes intelligence.GOVERNANCE, TRUST, AND CONTROLEvery organization wants AI agency.Nobody wants uncontrolled automation.The episode explores why governance is the most important layer in any AI architecture. From permissions and policy enforcement to audit trails, observability, compliance, and human oversight, governance creates the boundaries that allow intelligent systems to operate safely.Learn why successful AI systems are not built on trust in the model itself but on trust in the architecture surrounding it.Topics include:Governance by DesignData Loss PreventionHuman-in-the-Loop ArchitectureAuditability and TransparencyAI Risk ManagementMICROSOFT GRAPH AS THE BACKBONEAt the center of the JARVIS architecture sits Microsoft Graph.Graph provides unified access to emails, meetings, Teams conversations, SharePoint documents, tasks, approvals, calendars, and orga