“In acute care facilities, it’s a significant strength to have a team that has worked extensively in that facility before. SSOE has knowledge of the electrical, mechanical, plumbing, and structural systems that others will not, they just gain over time. They have a much better understanding of the existing conditions in the building and what would need to be addressed or accounted for when I’m designing a project. This has allowed them to develop relationships with the hospital’s leaders. Because they’ve done such a good job, they have a lot of credibility.”
Agentic Automation
Empowering Teams with AI-Driven Workflows
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.