How can a hub-and-spoke Digital Twin scale for multi-language AI Mode overviews without duplicating local content?

A hub-and-spoke Digital Twin keeps global facts in a central Public Business Brain and ties locale content to those facts through language-aware mappings and locale_fact_id references. This lets AI Mode generate cross-language overviews without duplicating local content, since translations point back to identical hub_fact_ids and proofs. Roll out in stages: publish hub facts and proofs first, then establish locale mappings, and finally deploy locale surfaces that pull from the same canonical hub content. Use automated drift checks to detect divergence between hub facts and locale mappings, and route updates through a Change Centre so every change is versioned and auditable. A provenance panel shows locale contributions and proofs linked to hub facts, with a Change Log tracking every update and rollback option if needed.