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.