Many engineering teams store drawings, specifications, supplier documents, and revisions in SharePoint rather than a product data management system. Leo AI argues that AI can make these libraries significantly more useful, but only when teams understand what SharePoint can and cannot capture.
SharePoint already stores useful file information, including names, authors, modification dates, folders, version histories, and custom metadata. Engineering teams can add fields for revision, project, release state, ownership, and materials. This information is accessible through Microsoft Graph API, giving AI assistants a structured foundation for document retrieval.
Problems arise with engineering content. SharePoint cannot interpret relationships among CAD models, drawings, parts, and assemblies the way a PDM system can. Native CAD files may be unreadable to its indexing system, while large files and scanned legacy drawings can also remain effectively invisible to content searches.
An AI assistant can bridge some of these gaps by searching metadata and readable documents such as specifications, reports, procedures, and drawing PDFs. Leo positions its technology as an intelligence layer that works across existing engineering repositories. The article stresses that AI responses should include citations to the source document, revision, and relevant passage so engineers can verify information during design reviews.
Some questions still require deeper engineering context. Determining the released revision, tracing where a component is used, identifying duplicate parts, or explaining why a design decision was made requires relationships that SharePoint may never have recorded.
The article recommends improving the underlying library before adding AI. Teams should move revision numbers, part numbers, project information, and release states from filenames into structured metadata fields. Controlled terminology can improve consistency, while readable PDF derivatives should accompany native CAD files.
The larger point is practical: companies do not necessarily need to replace SharePoint immediately. Better document organization combined with engineering-aware AI can improve retrieval today while preparing data for an eventual PDM migration.
