AI Acceptable Use Enforcement

Most organizations have an AI acceptable-use policy and no mechanism that enforces it. Staff acknowledge it during onboarding, and thereafter compliance depends on recollection and goodwill. Enforcement means the prohibited use is prevented or escalated rather than merely disallowed: a request touching a restricted category does not proceed, a purpose outside the stated scope is refused, and the attempt is recorded. The recording matters as much as the prevention, because a policy with no evidence of enforcement is indistinguishable from one nobody follows.

Governance-tier skills can require escalation rather than completion for defined classes of request, and audience scoping determines what any given person's requests can reach in the first place. The Interaction Log records the attempt alongside the skills that governed it, so enforcement produces evidence rather than only an outcome.