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This tutorial from the AAMAS 2025 conference in Detroit, Michigan presents a comprehensive exploration of the Multiagent CoPilot framework for industrial AI applications. Discover how this groundbreaking approach combines AI, knowledge graphs, and rule-based systems to create explainable industrial solutions. Learn about Industry 4.0 challenges and how neurosymbolic AI enables effective CoPilots with custom, compact designs. Examine SmartPilot's agent architecture and its integration with knowledge bases, while understanding the critical role of causal discovery, effect estimation, and reasoning within the system. Explore real-world industrial use cases and address practical implementation challenges including legacy system integration, scalability, and real-time deployment. Gain actionable insights for developing next-generation AI systems that are trustworthy, scalable, and deployment-ready. This work was partially supported by NSF grant #2119654, "RII Track 2 FEC: Enabling Factory to Factory (F2F) Networking for Future Manufacturing".
