How do you practically map a product lifecycle change into the Digital Twin to keep AI outputs current without breaking previous citations?

Use a formal change-management workflow inside the Control Centre: whenever a product or policy changes, create a new version of the relevant Business Brain facts and Q&A nodes, clearly tag the change as affecting AI-facing outputs, and publish the update with a timestamp and rationale. Maintain a changelog and keep the previous version accessible for auditing so AI can cite the exact state that informed earlier answers. Enforce freshness rules so AI-retrieved content points to the most current, approved facts, while private operational data remains protected. This disciplined approach preserves trust and ensures AI responses stay consistent with reality as products evolve.