An AI context layer feeds every model one governed source of company truth, and DataHub and Atlan will sell you that read half today. The half that notices when a person did not get what they wanted, the re-ask nobody logged, is what turns a knowledge store into a brain.
Every enterprise AI platform resolves what you can access through SSO and SCIM. None of them load your team instructions from who you are. Claude gives admins one 3,000-character field for everyone. Microsoft Copilot reads your permissions but not your team playbook. Here is the gap and what works today.
CLAUDE.md hierarchy looks tidy in a personal repo. Push it across departments and it splits into a tree most users cannot reason about. Lock at two levels. Split read-only governance from read-write working content. Run a seven-check audit on every new file. Anything deeper is a vanity hierarchy that breaks in weeks.
AI agents wreck environments in loops, as Solomon Hykes put it, while burning through thousands in tokens. But the real failure? Feedback systems that collect input then do nothing. Here is what actually works in production.