Why does Digital Compliance Monitoring matter for AI governance?

Conventional monitoring reports availability and exceptions. None of it detects a governance rule that stopped loading, because the symptom is a fluent answer rather than a failure. Organizations discover these during audits, months later. Centralpoint records which skills assembled for each execution, so a rule that failed to load appears as an absence in the telemetry rather than as a subtle quality change attributed to the model — and live alerting raises a conversation departing from its rules to a named person while it is still happening.