AI projects rarely fail because of technology. It fails when no one takes clear ownership of results. Six months into your AI programme, you see impressive dashboards and the steering committee engages. But when the CFO asks, “What has actually changed in revenue, cost, risk, or customer experience?” and no one can answer, the problem is not AI. It is a lack of ownership. Why AI Programmes Look Successful (Right Up Until the CFO Asks) AI and data programmes often highlight ac

How to Align People, Data & Agents We’re moving from the era of “digital transformation” into a new phase: digital autonomy. It’s not happening overnight—and that’s normal. We tend to rush into new trends and only later realise they aren’t magic solutions. Recent stories about AI "agents" make that clear. Klarna, for example, put major effort into building an AI-driven workforce culture, but a year later, the promised gains in efficiency and customer satisfaction reportedly d