The Control Centre acts as the governance layer for AI-facing knowledge. It handles change requests, approvals, versioning and an auditable Change Log. Updates to hub facts and proofs propagate with language-aware mappings, and drift checks flag misalignments. If needed, you can apply a rollback to restore prior hub facts. This structured process keeps AI outputs deterministic and auditable as products evolve, supporting reliable retrieval and citations.
Own The Conversation Digital Twin · Public Q&A
How does the Control Centre govern AI-facing knowledge to maintain accuracy during frequent product updates?
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