What governance processes should a business establish to keep its Digital Twin accurate as products, services, and policies change?

A practical governance plan should assign owners for data streams, enforce change-management workflows, and maintain an auditable history of updates. Set clear roles (editors, reviewers, and approvers), define a published data cadence, and implement a Control Centre that tracks who changed what and when. Ensure there is a policy for when to push changes to AI-facing outputs (citations, referrals, and Overviews) and how to validate new content before it goes live. Regular reviews help prevent drift between the Digital Twin and actual business operations, preserving trust in AI-driven answers and ensuring reports reflect current reality. Additionally, separate the knowledge that powers the Business Brain (stable, verified facts) from operational or private data, and keep read-only access for analytics where appropriate. This distinction supports reliable AI retrieval and keeps reporting explainable in your OTC dashboards.