Description
Architecture, engineering, and construction (AEC) firms accumulate irreplaceable institutional knowledge buried in drawings, RFIs, submittals, intelligent models, and lessons learned no one reads twice. Drawing on firsthand conversations with North American AEC firms, we'll demonstrate how retrieval-augmented generation (RAG), multimodal AI, and lightweight agents layered on Autodesk Forma (formerly Autodesk Construction Cloud) and Autodesk Platform Services can mine project data to surface precedent details, validate firm standards, classify specifications, predict RFI risk, and accelerate new-hire onboarding. You'll leave with a practical implementation road map, governance and data-readiness checkpoints, build-versus-buy decision criteria, and three pilot patterns proven on real Revit, Civil 3D, and Autodesk Forma workflows.
Key Learnings
- Learn how to quantify the ROI of an AI knowledge repository by mapping siloed data costs against efficiency gains from AI/ML in AEC.
- Learn how to apply LLMs, RAG, vector databases, and agentic AI to Autodesk Forma archives to auto-tag specs, predict RFI risk, and surface precedents.
- Learn how to design Autodesk Platform Services-integrated data governance to turn archives into a living knowledge asset.
- Learn about executive sponsorship, change management, and governance enablers to sustain AI knowledge systems across an AEC firm.