Structural engineering teams are under increasing pressure to deliver faster, reduce rework, and maintain high-quality QA/QC across every project. In this session, InspectMind will demonstrate how AI-powered plan checking can help structural engineers review drawings and specifications, identify coordination gaps, catch inconsistencies, flag potential code-related issues, and surface risks before submission.
This webinar will build on the March 18 session and focus more deeply on practical implementation: how firms can use AI as part of their internal review workflow, where AI is most useful today, what types of issues it can help catch, and how engineering teams can evaluate results effectively. We will show examples of AI-assisted drawing review, cross-discipline coordination checks, drawing-versus-spec comparisons, and workflows firms can use to save time while improving consistency and reducing downstream risk.
*There are no continuing education credits being offered for this presentation.
*This webinar will be recorded and made available on the STRUCTURE website.
*By registering for this complimentary webinar, you are agreeing to receiving communications from the Webinar Sponsor, STRUCTURE and/or NCSEA.
Presented by:
Matt Burkert, P.E., is a structural engineering domain expert at InspectMind AI, where he helps build and refine AI-powered plan-checking tools for the structural engineering profession. He earned his BS in Civil Engineering from George Washington University in 2013 and brings over a decade of experience spanning structural design, construction, and forensic engineering. A licensed Professional Engineer with a background in data science, Matt sits at the intersection of structural practice and emerging technology, translating real-world engineering judgment into tools that help engineers review plans faster and more reliably.
Shuangling Yin is the Co-Founder and CTO of InspectMind AI, where she leads AI model architecture and product engineering. With a background in large-scale software systems from CMU, Google and AirBnB, she specializes in applying large language models and computer vision to complex technical documents. At InspectMind, she focuses on building reliable, production-grade AI systems tailored for structural engineering workflows.