12 March 2026 · 6 min · Priyatize
Ownership before models
A model you cannot explain, retrain or leave is not an asset. It is a dependency with a confidence score.
Most failed AI programmes do not fail in the algorithm. They fail in the weeks after the demonstration, when nobody inside the organisation can say what the model is allowed to decide, which data it may see, or how a wrong answer will be noticed.
Priyatize starts from the other end. We ask who owns the definition, who owns the exception, and what “done” looks like when we are no longer in the room. If those answers are missing, a model is premature.
That is a slower first meeting and a shorter programme. It is also the difference between a system your team runs and a subscription you cannot leave.
Women-led practices are sometimes asked to be the softer version of this conversation. We are not. Clarity about ownership is a technical standard, not a tone of voice.