Mitsubishi Heavy Industries (MHI) showcases how it built a model content protocol (MCP) for AVEVA PI System to enable generative AI agents and large language models (LLMs) to access AF tags, time-series data, and event frames. This integration supports natural language queries, reduces manual effort, and improves plant monitoring. Learn how MHI is shifting from deviation-based to fixed-point monitoring—expanding predictive maintenance capabilities across its globally monitored gas turbine fleet.