Can an AI agent search engineering data and past design decisions?
Yes. Engineering search and decision-context agents are built to pull up the information behind a design decision such as prior review feedback, the standard that applied, a lesson learned last program, supplier notes, PLM records, similar issues from past work. What sets them apart from a general-purpose chatbot is that they run on your company’s own context and reach into the actual work and its history. CoLab Operator is one example, letting engineers search engineering data, ask questions about a design, draft review content, and clear routine work inside CoLab.