AI governance as continuous improvement

Many enterprise AI governance programs still rely on acceptable-use policies and approval workflows reviewed annually. AI governance as continuous improvement replaces that model with an operating loop that observes AI activity and measures it against policy. The loop enforces controls at runtime and feeds what it learns back into the next cycle.