Darla Moore School of Business
University of South Carolina
Projects > Darla Moore School of Business
University of South Carolina
In the News:
The Post and Courier | Business School Earns Honor for Energy and Environmental Construction
American School & University Magazine | Business School Earns LEED Platinum
Building Design + Construction | SC Business School to be Region’s First Net-Zero Energy Building
The Construction Specifier | University of South Carolina: Lessons in Net-Zero Energy Use
Building Enclosure Magazine | School to Become Largest Net-Zero Energy Building in Southeastern U.S.
National Society of Professional Engineers | University Building ‘Once-in-a-Career Opportunity’ for PE
Architectural Products Magazine | Function: Darla Moore School of Business, University of South Carolina
Civil + Structural Engineer | Smart Design Improves Building Efficiency
SSOE’s engineering team recently completed the electrical, mechanical, structural, and civil design of the University of South Carolina’s new Darla Moore School of Business. The school features a number of flexible classrooms and conference rooms, student work spaces and administrative and faculty suites.
With more than 250,000-square feet of floor space (Levels 0 – 5), building highlights also include a five-story central courtyard and enclosed garden pavilion, as well as a 500-seat auditorium.
Tasked with the goal to design, construct and commission one of the state’s first LEED Platinum buildings, the new Moore School of Business is on par to achieve Net-Zero energy use, by becoming one of the first Net-Zero Energy buildings of its kind in the southeastern United States.
SSOE worked hand-in-hand with lead architect Rafael Viñoly, the U.S. Department of Energy and Lawrence Berkeley Labs, to design a modern, yet contemporary, state-of-the-art facility capable of generating as much energy as it will consume through the used of advanced technologies.
“The entire SSOE team provided exceptional professional support for us throughout our project and often were the main supporters of our vision when challenges arose. Their team seemed to always retain focus on our specifications, expectations, and the intended design plan and were careful to avoid “over compromising” when differences occurred. They could be relied upon to explore and solve complicated challenges in ways that were efficient and favorable for our School.”
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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.
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.
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.
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’.
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.
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.