AI Governance

AI governance is the written answer to who may use AI, with which data, in which decision. It does not have to be a heavy compliance project: a three-to-five page framework that is clear and applicable is the right start for most mid-sized organisations. Length is not the point; an employee finding the answer in ten seconds is.

The framework contains five components: usage policy, risk classification, human oversight rules, data privacy and regulatory compliance, and logging and audit trail. Risk classification is the critical one; auditing every use equally either clogs the process or leads to the rules being ignored. Summarising an internal note and publishing customer-facing content cannot carry the same oversight.

“A human checks it” is not enough on its own. Who checks, what do they check, within what time, and what happens on objection? Those four questions must be in writing and oversight must be embedded in the process: without the approval step, output cannot move to the next stage.