Data, Fire, CCTV, and Security Systems for Technical Center
Automotive Client
Projects > Data, Fire, CCTV, and Security Systems for Technical Center
Automotive Client
SSOE’s in-house Data/ Fire/ Security (DFS) team designed data, fire, CCTV, security systems, and voice systems for a 500,000 SF Research and Development (R&D) facility. Several state-of-the-art video conference and projection rooms were designed, as well as a 3,250 SF, Tier 4 data center and back-up power system to support all of the data and server needs.
The data distribution system was designed with in-floor data communication ports and wireless connectivity. The building communication infrastructure was designed to standards far exceeding TIA/EIA standards. More than 150 networked interior and exterior CCTV camera were installed to monitor and protect the owner’s intellectual property. Placement of the cameras and video storage needs were evaluated and determined by SSOE with 3D modeling views provided for reference.
The team designed a fire alarm system that was integrated into the campus style fiber optic fire alarm network, CCTV system, and access control system. The office building’s paging, sound masking, and other notification systems were integrated into the consolidated head-end, so each system took the appropriate action during an alarm condition. SSOE teams designed a complete premier detection system for the facility with several detection devices, including motion detection and glass break sensors.
SSOE integrated sustainable design features which led the main facility to achieve Gold Level LEED certification.
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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 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.
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.
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.