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Tag Archive for: model collaboration

April 19, 2016/in Engineering /by hitch

Within SSOE, we’ve identified four fundamental enablers of VDC—essential elements to have in place for truly successful implementation of VDC project delivery.

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#1: Information capture (laser scanning) – for an accurate picture of current conditions. 3D laser scanning is the fastest, most efficient method to capture existing conditions of many facilities or sites. This replaces the time consuming and less accurate method of manually recorded field measurements. Now, lasers scan an existing facility or site creating a point cloud that acts as a highly accurate as-built drawing. The point cloud can be referenced into a 3D model to avoid collisions with the proposed design and costly rework in the field—resulting in an incredibly realistic and detailed 3D model of an existing facility.

#2: Coding structure for models – to allow data mining to automate and enhance certain functions, like quantity take-offs for estimating. This requires each model element have a unique code, and also that coding is consistently used from the very onset of a project. This concept encourages a more holistic approach to project delivery by leveraging data embedded in the models to improve and optimize other project efforts such as estimating, quality assurance, safety, documented savings, and more.

#3: Internal integration of the model – the ability to integrate design efforts between disciplines; one example is conducting multi-discipline reviews within the 3D model. SSOE’s 3D design review sessions bring together discipline leads before a client coordination meeting to hash out the agenda for the next meeting with project stakeholders. The agenda is a critical component in driving coordination success and serves as a framework to identify specific issues that need to be addressed during the meeting to move the project forward. One key benefit is that the internal review engages the design leaders by getting them into the model to find, track, and proactively resolve issues, as opposed to simply reviewing drawings prior to the meeting. Issues that require resolution or decisions from the client are captured within the model, and any later input from project stakeholders is added to keep a visual record of changes.

#4: External model collaboration during the execution of the project – the processes and technology required to gather input and create alignment with the fabricators, trades, and contractors into the model during construction. Methods to facilitate this collaboration, such as Interactive Planning (IAP) sessions, are also essential, even before the development of the model.

Coordination within the model takes place as various trade partners enter routing and fabrication-level detail (including hangers, supplemental supports, etc.) into their trade models which are used to generate submittal drawings for approval. These individual models are brought into one coordination model to uncover conflicts and avoid costly issues in the field that would otherwise be missed.  For example, on one project, once detailed models of the fire suppression systems and mechanical systems were put into the coordination model, it was discovered that there wasn’t enough clearance around the fire suppression system and the mechanical system design was adjusted prior to construction.

Performing external model coordination does for the entire construction project what internal model integration does for cross-discipline coordination. It highlights interferences, provides one “source of truth” for making adjustments, and drives the discussion and collaboration needed between partners to improve project outcomes so the owner knows exactly what will be built in the field.

Return to SSOE’s VDC Blog page >>

https://www.ssoe.com/wp-content/uploads/2016/04/150x150_SSOE_four-fundamental-enablers-of-VDC-1.png 150 150 hitch https://www.ssoe.com/wp-content/uploads/SSOE-1805-Reg-2.svg hitch2016-04-19 13:41:342018-07-11 16:30:47Four Fundamental Enablers of VDC

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Agentic Automation

Empowering Teams with AI-Driven Workflows

SSOE is actively piloting AI Chat large language models (LLMs) or copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.

By integrating chat LLM engines into platforms like Revit, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as modeling elements, cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations and quality prompts can be shared across project teams, accelerating workflows and reducing manual effort.

Similarly, our internal Software Development Community is leveraging GitHub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into GitHub’s extensive Repo to move faster from concept to implementation.

Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted automation, unlocking new levels of efficiency and scalability across our projects.

Microsoft Copilot

Empowering our teams with everyday AI

SSOE is utilizing Microsoft Copilot Edge and M365 to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.

Today, 100% of SSOE employees have taken the voluntary training and have access to Copilot Edge, achieving early our October 1, 2025 goal.

In-House Resource Planning Tool

A solution to one of the AEC industry’s toughest challenges

We found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in-house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently. Additionally, the tool will allow teams to identify gaps to optimal staff mix.

AI Knowledge Retention

Lessons learned shouldn’t disappear when people move on

SSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer and Architect trained in SSOE’s processes, best-known-methods, and trainings. Our data structure is being remodeled to enable better use of our proprietary knowledge to train the agent on the ‘SSOE way’.

Autodesk Forma

Early-stage design modeling in extreme climates

We helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to promote sustainability, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (daylighting and microclimate analysis tools) at the project’s exact geographic location, using location-specific environmental data.

Discover how SSOE is using Autodesk Forma to improve sustainability outcomes for industrial projects: SSOE Group: Improving sustainability outcomes for industrial projects with Autodesk Forma.

ACC AI Assistant

Accelerating Project Clarity with AI-Driven Specification Search

Autodesk Construction Cloud (ACC) is SSOE’s enterprise-wide project delivery platform. We partner with the Autodesk Product team and have research access. Use of the AI Assistant allows our design teams, owners, and general contractors the ability to query the project specifications for quality, answers, and more rapid responses to RFIs, submittals, or issues.

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