Notes on decisions, judgment
and AI in the enterprise.

A knowledge graph captures what the company knows. A process graph captures what actually happens. A decision graph captures what was known, what AI recommended, what the human chose, and what followed.

Two CEOs, two continents, the same question. Neither of them talked about AI. They talked about what their customers will still pay for.

Digital transformation redesigned workflows. With AI-native companies, the line between what humans decide and what agents decide is starting to move.

Companies are deploying agents into existing workflows without redesigning how decisions are made. The gap between the power of the technology and the visibility over its decisions has a name.

We have become very good at measuring AI. Adoption, maturity, ROI, productivity. None of it tells us whether AI is making the organisation smarter.

In financial services, the most adopted AI use cases are not the most profitable. The decision-intensive ones are. What clients will keep paying for.

Business defines the need. Transformation formalises it. Architecture translates it. AI and data teams build it. At every handoff, part of the reasoning disappears.