Description
Most architecture, engineering, and construction (AEC) data stays raw because processing it manually does not scale. This session will demonstrate a working pipeline where AI classifies documents, extracts structured information, enriches records, and validates outputs at every stage. Model Context Protocol (MCP) connects AI agents to Revit, Autodesk Platform Services, and Autodesk Forma (formerly Autodesk Construction Cloud), letting them read and write connected data across tools in a single workflow. A live walk-through of a real pipeline used on AEC projects will show how feedback loops capture user corrections so results improve with every iteration. You will leave with a reusable architecture pattern you can adapt to your own challenges, from tender analysis to intelligent models to construction submittals.
Key Learnings
- Learn how to design a data-processing pipeline where AI classifies, extracts, enriches, and validates AEC data at every stage.
- Learn how to apply MCP to connect AI agents with Revit, Autodesk Platform Services, and Autodesk Forma, enabling intelligent automation across connected data sources.
- Learn how to build feedback loops that capture user corrections and improve AI output quality over time across projects.
- Learn how to adapt a reusable pipeline architecture pattern to different AEC data processing challenges.
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