Why it matters
Governance is often read as a document exercise: an acceptable-use policy, a committee, a register. Those are inputs. The test of governance is whether the rules still hold when someone pastes a contract into a chatbot at six on a Friday evening.
Working AI governance has an owner for every system, a risk rating that is kept current, rules written by the people who understand the risk, and controls that apply those rules where AI is actually used. Regulation such as the EU AI Act turns several of these from good practice into obligations.
How Qastel handles it
Qastel gives every AI system an owner, a risk score and a governance state. Business, security and compliance teams write the policies in plain language, and Qastel applies them at runtime through the enforcement points IT deploys.