Toyota North American Program
Toyota Motor Engineering & Manufacturing North America Inc.
Projects > Toyota North American Program
Toyota Motor Engineering & Manufacturing North America Inc.
Toyota has utilized SSOE as their trusted A/E partner of choice since 1999. SSOE’s structural department has consistently designed facilities for Toyota that could be constructed for less than any of their competition in the market place, regularly designing much closer to the actual service factor. SSOE consistently delivers on schedule for Toyota, and the number of errors and omissions experiences is much lower than what they had seen with their previous engineering services providers.
With these factors in mind, it was an easy decision for Toyota to select SSOE to provide the design to double the size of their automobile manufacturing plant in Princeton, Indiana and for their greenfield facilities in San Antonio, Texas and Tupelo, Mississippi.
In Indiana, having gained an understanding of Toyota’s goals and needs from previous projects in France, SSOE provided architectural / engineering services for an addition to the existing factory space to double the assembly plant.
In Texas, SSOE provided the facility design for a greenfield truck assembly plant on a 2,000-acre site that included suppliers. SSOE also provided on-site engineering staff to Toyota’s Owner’s Representative Office (ORO) to support the construction efforts and coordinate the design documents during construction phases.
In Mississippi, SSOE performed the master planning and design of the plant, as well as provided on-site engineering staff to Toyota’s Owner’s Representative Office (ORO) to support the construction efforts and coordinate the design documents during construction phases.
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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’.
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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.