Keep fact sheet data current at scale, with less manual overhead

Keeping your architecture inventory accurate across dozens or hundreds of fact sheets has traditionally meant opening records one by one. You can now describe the changes you want in natural language and apply them across your entire selection in one step, directly from the inventory table.

The Enterprise Architecture Assistant gained a new capability directly in the inventory table: it proposes updates across multiple fact sheets based on your intent, and you can review, adjust, and approve them in line before anything is saved. The suggestions are generated from structured data in your workspace, unstructured documents, and web research, and are available directly in the inventory table.

Additionally, you can use natural language queries to filter and search fact sheets in the inventory UI. The system interprets your query and automatically applies the corresponding filters to narrow down the list of fact sheets.​