Getting AI right takes more than information. It takes experience.
I work with leaders and their teams to build and scale the judgment to get AI right.
Over fifteen years leading product and technology organisations, from data science and AI at Quantium to scaling at wefox in Berlin.
The leadership teams that move confidently on technology are the ones whose leaders can see clearly what to invest in, and what not to. Without that clarity, organisations waste millions on the wrong bets, or watch promising initiatives lose momentum before they deliver.
Today, I work with CEOs and leadership teams to build the confidence, the capability, and the conditions for AI to work across the organisation - not as a series of experiments, but something the organisation owns.
The organisations that get AI right do not start with the technology. They start with which problems are worth solving, in what order, and whether the organisation is set up to act on what it learns. Most haven't built that discipline yet. The few that have need to scale it as they accelerate.
The Cost of Not Deciding Is Changing
Six weeks of AI news changed very little about how you should work next week. What it shifted is the weight behind three decisions you are already making by default - what you lock in, what your cyber exposure now costs, and whether you know what AI is already running in your business.
What Is a Document Worth?
A document used to be proof that the work behind it had been done, because you could not produce one without doing the work. AI has broken that link, and the sort every firm now faces is which deliverables carried the thing the client wanted, and which were only ever the receipt.
The Work Was the Teacher
Producing raw work was never only about the output - it was how judgement got built, and how a manager read who had it. As AI takes over the doing, we're asked to verify more with expertise we're building less, unless we put the formation back in on purpose.