Your AI policy just became enforceable
Every enterprise has an AI policy. Almost none can enforce it. Anthropic’s Inference hooks move the enforcement point to before the model runs.
Every enterprise has an AI policy. Almost none can enforce it. Anthropic’s Inference hooks move the enforcement point to before the model runs.
Two years of policy work on what students cannot do with AI. Not one line on what the admissions team can. Here is what an AI operating model looks like in a university.
One promotion, forty versions of the artwork across the network, and nobody you can hold accountable. Here is what an AI operating model looks like in a franchise business.
Six subscriptions, no change to the business. Here is what separates real estate companies where AI runs in production from the ones still experimenting.
Recently, I wrote about the questions regional CEOs keep asking me about AI. Where do I start? How do I stay in control? Will it replace my team? Honest questions from leaders at the start of something. Then I saw a post from Alex Lieberman, the Morning Brew co-founder who now runs Tenex, an AI … Read more
Most AI projects we see across the Gulf are quietly failing. Not loudly. There’s no crash and no post-mortem. The pilot just goes quiet, the enthusiasm fades, and a year later, the business is roughly where it started, only now with a subscription it isn’t really using. It’s almost never because the technology doesn’t work. … Read more
Most weeks, I’m across the table from a CEO somewhere in the Gulf. Real estate, financial services, government-adjacent businesses. A year ago, the AI conversation was polite and abstract: what is this, and does it matter? Now it’s sharper, and a bit more uncomfortable: what do I actually do about it, and am I already … Read more
This is not a story about AI being bad for marketing. It is a story about what happens when powerful tools meet organisations that have not yet built the infrastructure to govern them.