Jan 16
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Copilot Studio makes it possible to build powerful multi-agent AI systems that can solve complex business problems—and in this video, I show you exactly how. In this hands-on demo, I walk through building a Portfolio Manager AI using Microsoft Copilot Studio, powered by ChatGPT-5, that orchestrates multiple specialized AI agents to perform end-to-end portfolio analysis. These agents work together to analyze macroeconomic conditions, company fundamentals, earnings transcripts, and technical signals—compressing days of manual analysis into minutes. You’ll see how multi-agent AI orchestration works in practice, where a central Portfolio Manager agent coordinates other agents behind the scenes, synthesizes their outputs, and delivers a single, well-structured investment recommendation. This solution uses configurable knowledge sources, code interpreter for Python-based analysis, and specialized external APIs for market data—resulting in controlled, predictable, and enterprise-ready AI behavior. Chapters 00:00 Intro – The Problem with Manual Portfolio Analysis 01:11 Introducing Multi-Agent AI with Copilot Studio 02:30 Solution Overview – Portfolio Manager + AI Agents 04:46 Demo Setup – Agent Configuration & Design Choices 09:11 Live Demo – Investment Analysis Scenarios 11:00 Let’s Talk ROI – Time Savings & Business Impact 12:00 Security, Governance & Content Moderation 12:40 Applying This Pattern Across Industries 13:30 Final Thoughts & What’s Next Demo Materials Slides - https://tinyurl.com/port-mgr-AI-slides Prompts - https://tinyurl.com/port-mgr-AI-prompts Additional Resources Learn about Microsoft Power Platform: https://www.microsoft.com/en-us/power-platform What is Copilot Studio?: https://www.microsoft.com/en-us/microsoft-365-copilot/microsoft-copilot-studio Learn about GPT-5: https://openai.com/index/gpt-5-new-era-of-work/ Let’s Connect! If you enjoyed this video, please like, subscribe, and drop your questions or feedback below! Follow me on LinkedIn: https://www.linkedin.com/in/prabr/ Questions & Feedback: info@fluxqor.com