The deadline is approaching... The first question is not whether your organisation is compliant. It is whether Marketing Operations even knows what it owns.

There's plenty of content about why AI governance matters. The regulatory pressure, the risk of ungoverned automation, the compliance deadlines. We've written about it ourselves. But there's far less content about what good AI governance actually looks like in practice - inside a real marketing operations environment, with a real team, running real campaigns on a real platform. This is that article. Not the principles. Not the framework diagram. The operational reality of wha

Your company has an AI policy. It went through legal, got presented at an all-hands, and it's sitting on the intranet right now saying all the right things about responsible use, data protection, and human oversight. Meanwhile, someone on the marketing team activated a predictive scoring feature during last quarter's platform upgrade because it looked useful. It's been running ever since - deciding which leads get prioritized and which get buried - and nobody logged it, nobod

Every organization with an AI policy thinks they have AI governance. They have the document. It's been signed off by legal, reviewed by the board, published on the intranet. It covers principles - fairness, transparency, accountability, responsible use. It reads well. It says the right things. And then the AI does something wrong. A chatbot makes a promise the company can't keep. An automated workflow suppresses a segment that should have been contacted. A scoring model route