3T MRI Renovation
Wayne State University
SSOE worked closely with Wayne State University to provide design services for the installation of a new 3T Magnetom Cima.X MRI scanner and associated support spaces within the Eugene Applebaum Building. An existing nuclear magnetic resonance (NMR) machine was relocated within the building to create space for the new MRI procedure room, control room, and equipment room. Support spaces included a patient changing room, toilet room, waiting area, and “mock” MRI space to help patients prepare for their procedure.
The project presented several unique challenges. While design was underway, the cutting-edge MRI equipment was still awaiting FDA approval in the United States. Partially funded by federal grant funds, the project required an aggressive design and construction schedule which did not allow for any delays. To ensure the final completion date, SSOE worked closely with the client, equipment vendors, and contractor to respond to changing equipment needs and identify and specify potential long-lead items.
In addition to the design challenges, an early structural analysis of the facility by SSOE showed the lower level to be the most suitable location for the new equipment. Because the construction access for the new MRI had to be through the existing below-grade exterior wall, the MRI was craned into the building from a main thoroughfare between the WSU facility and an adjacent hospital. Important to the success of the project, SSOE worked with the equipment manufacturer, shielding vendor, and contractor to help ensure a smooth process.
The project scope included new lighting, diffusers, millwork, and finishes, as well as incorporating the shielding and equipment requirements into the construction documents.
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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 estimate staff requirements and identify gaps.
SSOE is utilizing Microsoft Copilot 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, 75% of SSOE employees are have taken the training and have access to Copilot, with a goal of 100% of employees using Copilot by October 1, 2025.
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 discover the most suitable form, 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
SSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer 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’ of engineering.
SSOE is actively piloting AI 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 copilot engines into platforms like Revit and GitHub, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations 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 enterprise knowledge base to move faster from concept to implementation.
Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted collaboration, unlocking new levels of efficiency and scalability across our projects.
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 for project specifications 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.