About
Your AI is running. The dashboards are full. Six months later, nobody has changed a decision because of it. That is not an AI problem. That is a Logic Leak, and it is fixable.
What I Do
Most AI programmes do not fail because the model is weak. They fail because nobody can say which decision should improve, who owns it, what changes in the workflow, or what number proves the work mattered.
I help leadership teams turn AI ambition into a ranked use-case map, an operating logic, and an ROI story a CFO can interrogate.
Pattern
In one automotive portfolio, the answer was not another dashboard. The team changed how decisions were framed, moving from 4% to 11% and creating a 2.7x revenue lift without adding new infrastructure.
I read code, but I do not sell code as the strategy. My work is translating between operations, finance, and technical teams so the AI system has a business job before it has a model.
That background creates a useful instinct: if the system cannot explain what force it changes, where it moves, and how it is measured, the architecture is not ready.
Method
Fit
Next
Read the field notes, join the weekly brief, or book a clarity call if there is a live business decision behind the AI work.