What is a practical approach to drift detection for a hub-and-spoke Digital Twin when launching in new markets?

Set up automated drift detection that compares locale signals (localized Q&A mappings, translations, and media) against hub facts and language-aware mappings. Run nightly checks to compute a drift score for each locale, flagging mappings that diverge beyond a defined threshold. When drift is detected, route changes through Change Control, map updates to the corresponding hub_fact_id, and version the remappings in the Change Log before deployment. Maintain a remediation plan: re-align locale content to hub identifiers, validate proofs, and perform a staged rollout with an auditable post-deploy audit. Include a rollback option to revert to the prior hub_fact_id if issues arise. This keeps local signals aligned with core content while preserving local relevance and governance transparency.