Design Local AI Discovery as localized signals that reference the hub's canonical facts via language-aware mappings. Each locale uses a fact_id from the Public Business Brain and linked proofs where appropriate. Implement drift detection to flag local mappings that diverge from hub facts, route updates through Change Control, and publish locale changes with versioned hub references in the Change Log. Use a provenance panel to attribute which locale contributed which proofs, without duplicating central content, and maintain a single source of truth in the hub with localized surfaces that point back to it.
Own The Conversation Digital Twin · Public Q&A
How should Local AI Discovery be architected to balance local attribution with central facts for multi-location brands without duplicating content?
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