A live interactive workshop for owners, operators, developers, architects, and builders exploring how AI is reshaping the AEC stack—from design to delivery.

AI is moving fast inside construction, architecture, and engineering—but most teams are still unsure what actually works, what’s hype, and how to implement it without blowing up workflows or budgets.

​In a 2 hour live session from 12:00PM - 2:00PM EST, this workshop delivers a clear, no-jargon explanation of how modern AI works, followed by a deep dive into real-world AEC use cases across design, pre-construction, construction management, and operations.

​We’ll examine how leading firms are using AI for generative design, test fits, takeoffs, scheduling, code compliance, and construction monitoring—then shift to implementation: where to start, how to prep your data, how to evaluate vendors, and how to integrate AI into real project workflows.

​You’ll leave with a practical framework for applying AI inside your organization—plus tools to avoid the hype and focus on outcomes.

​Participants will receive post-workshop access to our community on Circle, where we’ll share recordings, recommended tools, curated vendor lists, and implementation guides.

You’ll Learn How To

​Understand how AI actually works

​Break down what modern AI is (and isn’t), including models vs. applications, agentic AI, and frameworks like HITL, HOTL, and HOOTL—explained in plain English.

​Explore AEC-specific use cases

​See how AI is being applied to concept design, test fits, cost estimation, construction documentation, scheduling, QA/QC, and site monitoring.

​Learn from real project examples

​Examine how architecture firms, contractors, and developers are using AI tools in live workflows—from generative design to construction intelligence.

​Evaluate where AI fits in your org

​Identify high-impact opportunities across design, pre-con, and construction, assess data readiness, and prioritize use cases with real ROI.

​Prep your team and systems for implementation

​Understand what makes drawings, models, schedules, and project data “AI-ready,” how to choose vendors, and how to structure workflows for adoption.

​Stay ahead of what’s coming

​Look beyond the buzzwords—explore what’s next in computer vision, generative design, digital twins, and the collapsing cost of custom software.

Questions about the workshop?
View FAQs on format, access, recordings and more: FAQs

What Is AI and How Does It Work?

• ​Evolution of AI and key model types

• ​Models vs. applications vs. automation

• ​Agentic AI and human-in-the-loop frameworks

• ​Capabilities—and current limitations

​AI in Design & Architecture

• ​Generative design and test fits
  Rendering, visualization, and iteration speed

• ​Code and zoning analysis

• ​BIM augmentation and documentation workflows

​AI in Pre-Construction & Estimating

• ​Automated takeoffs and quantity analysis

• ​Cost estimation and scenario modeling

• ​Schedule optimization and risk identification

​AI in Construction & Delivery

• ​Computer vision for site monitoring and safety

• ​QA/QC, progress tracking, and delay detection

• ​Document abstraction (RFIs, submittals, specs)

​How to Implement AI in an AEC Organization

• ​Identifying workflows AI can meaningfully enhance

• ​Assessing data quality and readiness

• ​Platform vs. point solutions

• ​Build vs. buy decisions and vendor evaluation

• ​Change management and team enablement

​What’s Next for AI in the Built Environment

• ​Computer vision and autonomous job sites

• ​Generative design at scale

• ​Digital twins and real-time feedback loops

• ​How AI reshapes roles across AEC teams