What if anyone could automate Revit software without writing a single line of code? This session introduces an open-source AI agent that turns natural language into executable Revit operations. Built on retrieval augmented generation (RAG) and Model Context Protocol (MCP), it retrieves knowledge from Revit API Docs, generates C# code, and executes it inside Revit in real time. Key highlights include the following: There are no hardcoded rules the large language model (LLM) reasons from real API signatures. There are no preset commands never-seen operations are reasoned and created on the fly. Successful operations solidify into reusable templates non-developers replay them instantly. And there's a live Revit connection via TCP JSON-RPC with Roslyn dynamic compilation. No C# experience or plug-in background is needed. And there's no command library to maintain. Just describe what you want.

Artificial intelligence is reshaping AECO, but most solutions remain disconnected from engineering and fabrication workflows where technical decisions are made. Through live demonstrations, this session will show AI embedded within production environments, leveraging engineering standards, deterministic calculation engines, fabrication rules, and BIM data. Explore AI-assisted model management, load generation, detailing, and cross-platform workflows enabled through AI skills and APIs/MCPs, delivering reliable, auditable results while keeping engineers and fabricators in control.

How do you turn an intelligent model into a lever for real environmental performance? At the Chabanne office, we developed a suite of custom Revit plug-ins directly connected to live environmental databases (INIES/RE2020). This enabled our teams to query material carbon data, track biosourced ratios, and monitor energy indicators directly inside the model in real time. This outcome-based BIM helped us across different projects especially Thoiry's Kindergarten to reach Passivhaus-level energy needs, exceed the RE2020 2028 carbon threshold, and achieve 1.5 times the Level 3 biosourced label. Through Autodesk Platform Services, plug-ins, Autodesk Forma, Forma Site Design, Forma Building Design, Model Context Protocol (MCP), API, and AI, the intelligent model turned into a decision-making engine for our whole team.

Autodesk is building the Design and Make Marketplace to power a new era of AI-driven automation connecting customers to both Autodesk and third-party capabilities in a unified experience. This panel will bring together perspectives from across that ecosystem: an end user discovering and combining solutions, a publisher building and monetizing capabilities, an enterprise leader managing adoption at scale, and Autodesk shaping the platform. Together, they'll explore how AI-powered services, agents, and workflows are discovered, acquired, and used and what it takes to make solutions from multiple providers work seamlessly. Learn how this shift is redefining how work gets done.

The next decade of physical product design will be defined by what teams choose to automate. Modern design tools should not just make things happen faster. They should free teams to focus on taste-making, creation, and human intuition, while quietly handling the repetitive work no one wants to do. This session explores how end-to-end product workflows, powered by AI and human collaboration, are enabling teams to design faster, more efficiently, and better for the world. See how Autodesk Fusion and Naya complement each other across the full design process, from first concept to manufacturing, and walk away with a strategic view of how Fusion and Naya enable a better design process, and where the next year of AI and workflow is heading.

See how architecture, engineering, construction, and operations (AECO) teams connect planning, design, coordination, and construction workflows in a single AI and data-driven environment using the Autodesk Forma industry cloud. This technical and practical deep dive will walk through real workflows from site planning in Autodesk Forma to design in Revit software, coordination in Forma Design Collaboration, and execution in Forma Build. Learn how data flows through Autodesk Data Management as a common data environment, preserving decisions across phases with practical examples. Explore practical AI-powered use cases such as rapid design iteration, automated analysis, and model-based coordination. And discover how to reduce manual work, improve collaboration, and implement connected workflows across the AECO lifecycle.

Revit software is evolving into a design-driven environment for structural engineers, enabling a seamless transition from analysis to reinforcement and documentation. In this hands-on session, you'll integrate results from FEM software such as Robot Structural Analysis, GRAITEC Advance Design, or other tools directly into Revit to perform code-based checks and generate reinforcement for concrete members, including beams, columns, footings, and walls. You'll automate rebar cage generation, produce engineering reports, and generate drawings and schedules within a single BIM-integrated platform, reducing manual work, improving coordination, and ensuring compliance with US and European standards.

The offsite construction industry is scaling, but the graduates entering it have been trained for a world of bespoke ETO delivery. No accredited degree program teaches configure-to-order workflows, manufacturing product definition, modular interface standards, or offsite logistics. The industry is hiring for skills that schools don't yet teach. This session will present the MBI-CfOC Offsite Construction Accreditation Initiative a joint effort between the Modular Building Institute and the Center for Offsite Construction to establish the first accredited degree pathway for the industrialized construction workforce. With materials nearly complete and first accreditation discussions happening, let's understand what the next generation of offsite-trained talent will know, and how to build a firm that can absorb them.

Come to this session to hear how Sabesp powers a $15 billion+ CAPEX program, universalizing water and sewer systems for 28 million people across 375 municipalities with more than 1,100 work fronts. Over five years, custom Civil 3D/Revit/AutoCAD Plant 3D libraries and Autodesk Forma Data Management (engineering CDE) enable full intelligent modeling of water intake, transport, treatment, reservoirs, distribution, sewage collection, pumping stations, and effluent treatment plants (ETPs) replacing 2D workflows. Forma Data Management and Autodesk Forma Build orchestrate CAPEX, from planning to commissioning. Autodesk Forma Design Collaboration streamlines model coordination. Water solutions including InfoDrainage, InfoWorks WS Pro, and SCM6 handle hydraulic modeling and rehab planning. ArcGIS supports CAPEX spatialization and BIM publishing. Pioneering AI via Autodesk Platform Services automates Sabesp standards compliance checking.

AI tools are not just adding new features to CAD workflows. They are changing where the real work happens.
Some tasks that used to require deep CAD knowledge can now be researched, diagnosed, or automated faster than before. At the same time, more decisions about standards, support, compliance, and workflow ownership are landing on the CAD manager's desk.
This session looks at what is actually changing in day-to-day CAD management, including advanced support research, complex CAD issue diagnosis, CER crash analysis, CAD standards compliance, and using real project and support data to develop better best practices. We will focus on the skills that are becoming more valuable and how to prepare your team before the shift catches you off guard.

This session will look at a case study on delivering reinforcement shop drawings for viaducts and station buildings using Revit software at metro scale. SYSTRA India adapted building-centered workflows to infrastructure precast through a template-to-transmittal strategy which included: standardized content and shared parameters; parametric rebar families aligned to fabricator shape codes; and automation for numbering, scheduling, and batch sheet creation. Rule‑based QA checks, strict revision control, and ERP‑ready exports ensured traceability from model to yard. Results included 30% to 40% faster turnarounds.

Are you tired of manually re-entering data between Autodesk Forma (formerly Autodesk Construction Cloud), Procore, and HCSS? ProjectReady WorkBridge eliminates that burden. In this live product demo, Topcon Solutions and ProjectReady will walk through three real-world workflows: bidirectional sync between Autodesk Forma and Procore for submittals, RFIs, issues, and photos; project data transfers from Procore to Autodesk Forma; and the connecting of HCSS HeavyBid to BuildingConnected for a seamless preconstruction-to-construction handoff. See WorkBridge's scheduling engine, audit logs, and no-data-at-rest architecture in action and leave knowing how to connect your platforms and keep every team aligned.

This session will demonstrate how the recently introduced Autodesk Fusion AI Assistant enhances product development. AI Assistant accelerates early-stage design exploration, development, and fabrication by translating text into CAD, automating workflows, and accelerating implementation. Case studies of consumer products will illustrate how AI Assistant improves efficiency, when traditional methods are more effective, and how to best combine both. The session will cover prompt engineering techniques that improve output quality. By adopting these workflows, teams can reduce repetitive tasks, improve iteration speed, and focus human expertise on higher-value design decisions, ultimately achieving faster, more informed results.

As structural projects move from analysis and design intent into detailing and fabrication readiness, teams often struggle with rework, inconsistent model behavior, and repetitive documentation tasks. In this 90-minute lab, you'll create analytical models with improved automation, editing, loads, and boundary conditions. You'll also apply new rebar modeling techniques and detailing workflows, work with detailed steel modeling, and automate element numbering with rule-based controls. Guided exercises will demonstrate how these capabilities improve analytical model accuracy and editability, strengthen reinforcement definition and documentation, reduce manual effort, and support more-reliable downstream delivery.

In this hands-on session, explore how Autodesk Tandem Connect enables truly operational digital twins by integrating real-time data with building assets. Participants will connect external systems, visualize performance through heat maps, integrate with CMMS platforms to generate work orders, and trigger automated alerts. Learn how to transform raw signals into actionable workflows that improve maintenance, reduce downtime, and drive smarter facility operations. This session will focus on practical implementation, showing how connected data can power real-world decisions and outcomes.

Autodesk Platform Services documentation, website, and sample files all assume the user is an experienced web developer. Most architecture, engineering, and construction (AEC) professionals who want to take advantage of using Autodesk Platform Services to access their Autodesk Forma data are not web developers, and they need to understand how to start from level zero. This class will introduce a level zero approach for connecting Autodesk Platform Services to Autodesk Forma (formerly Autodesk Construction Cloud). We'll walk through creating an Autodesk Platform Services application, obtaining authentication, and connecting to Autodesk Forma. Once connected, we'll retrieve basic project information, and we'll review the structure of the Autodesk Forma data.

For years, digital twins have been presented as the ultimate goal of digital transformation. But today the conversation has evolved. The real value lies in creating a digital representation of an asset and enabling it to analyze, predict, and support better decisions via artificial intelligence. This session will explore how engineering models, BIM, reality capture, operational data, and AI combine to create intelligent digital ecosystems. We'll examine the evolution from traditional to AI-enabled digital twins. We'll discuss the role of foundation and domain-specific engineering models. And we'll explore how organizations can leverage existing digital assets to unlock new operational insights and automation. This session will provide a practical road map for those seeking to transform engineering and construction data into actionable intelligence. You'll leave with a clear understanding of how AI complements digital twins and how technologies can drive measurable business value throughout the asset lifecycle. 

Autodesk tools generate some of the most complex documentation in architecture, engineering, and construction (AEC), yet reviewing and coordinating it still takes hours of manual effort, with errors slipping through. Join Nomic for a live 20-minute demo of purpose-built vision-language models that catch issues earlier, reduce rework, and give teams back time on every project. We'll show three workflows running on real AEC projects: 1) Drawing QA/QC: catching coordination issues and cross-discipline conflicts before they become RFIs or change orders; 2) Submittal reviews: extracting, comparing, and validating data against specs with findings cited to source; 3) Automated code compliance: surfacing violations on sheets early in design, referenced to applicable code sections. Each demo will pair with real ROI data from firms running Nomic in production, so you'll leave with a clear picture of what deployment delivers. Nomic's AI is built for drawings, specs, and complex documentation: inspectable, governable, and grounded in your project data.

AI has transformed design and simulation, yet its role in real-world making where materials, tolerances, and human judgment converge remains emergent. Fabrication is variable, unforgiving, and governed by physics that challenge AI tools. This panel will explore the current state of AI in manufacturing and construction, focusing on how agentic systems can augment, not replace, skilled practitioners. Drawing on applied research from the Autodesk Technology Centers, we'll share how we train AI on real fabrication data, develop physics-informed models, and test intelligent, automated manufacturing workflows. Join experts across domains to examine how human-AI collaboration can drive impactful outcomes from factory floors to jobsites.

Industrialized construction requires coordination across design and manufacturing workflows, but today these processes remain fragmented. This session will explore how AI agents can help connect product and project workflows, enabling earlier decision making and improved constructability. You'll see how validation and specification workflows can be applied today within Autodesk tools, along with a phased view toward configuration, productization, and continuous improvement. A real workflow example will demonstrate how teams can move from disconnected automation to coordinated execution.