semantic-tagging

Tag governance decisions for fast retrieval by applying mandatory fields—domain, layer, skill, precedent_level, and affected_parties—plus optional tags where relevant. This structured taxonomy enables cross-domain pattern detection and ecosystem-wide search across all decision records.

The two-person tag review workflow validates required tags, catches misclassification through dispute resolution, and appends amendments directly to decision records. This mandatory review enforces taxonomy accuracy before records become searchable across domains.

Manage taxonomy evolution without drifting by recording tag corrections according to defined governance processes. The semantic-tagging workflow supports taxonomy governance updates that adapt classification structures while preserving audit-trail integrity across all decision records.

Yes, semantic tagging applies across all decision records spanning every layer, domain, and circle. The ecosystem-wide taxonomy remains unified to enable cross-unit searches and pattern detection without domain-specific classification drift.

Without structured tagging, governance memory degrades into an unsearchable archive where decisions pile up with no classification, cross-reference, or pattern detection capability. Semantic tagging solves this by enforcing a mandatory taxonomy at decision-record creation time.

Yes, the semantic tagging workflow applies to decision records produced via the decision-record skill. You must have an existing decision record to classify and tag all required fields, then submit it for the mandatory two-person review process.