Governance is not a policy document. It is the controls that let a board approve AI without taking on risk it cannot see.
When a board asks whether it can use AI, the real question is whether it can defend that use later. Governance is the set of controls that makes the answer yes.
In practice that means four things. A human approves anything consequential, such as money or messages leaving the business. Every action the system takes is logged and attributable. Performance is monitored, so drift is caught early. And the whole thing is reported in terms a board and an auditor can read.
None of this is exotic. It is the same discipline a finance function already applies to any process that touches money or customers. The mistake firms make is bolting AI on without it, then discovering they cannot explain what the system did.
We build the controls before the build, not after. That is the difference between an AI demo and an AI system a regulated business can run.
Most AI projects stall because the wrong first project was chosen. A single payback number fixes that.
Simple automation is right more often than people think. The line is whether a step needs judgement.
