Most coordination questions are already answered in the model, which doors are missing a fire rating, what changed since rev 09, why one riser move suddenly reads as 75 clashes. Catenda AI reads the models and the issues and answers in plain language: it surfaces missing or misclassified data, summarises what changed between revisions, and groups an imported clash report by root cause.
Catenda doesn't run the check, your tool does, but it makes everything the model knows queryable. And because Hub is MCP-native, your own agents (Copilot, Claude, ChatGPT) can ask the same questions, with the same permissions. No bespoke connector.
→ Data gap18 doors, no fire rating
Catenda AI flagged every door missing a required property before permit submission, grouped into one Topic for the design lead.
→ Clash report240 hits → 8 issues
One MEP riser move threw 75 duplicate clashes. Grouped, ranked and assigned, the real worklist, not the raw list.