The Architecture of Understanding
Enterprise architecture should not only connect systems. It should help people form a clearer shared understanding of what the business is seeing.
Developed in Understanding Drift →Signature ideas
These are the ideas I keep returning to in my writing: not as slogans, but as working lenses for understanding enterprise systems, AI and the responsibilities that appear when technology begins to influence decisions.
Enterprise systems. Artificial intelligence. Decision-making. Wisdom.
The idea map
Enterprise architecture should not only connect systems. It should help people form a clearer shared understanding of what the business is seeing.
Developed in Understanding Drift →When AI recommends or acts, the organisation needs a visible record of evidence, permission, escalation and consequence.
Developed in The Machine Can Recommend →Data lineage asks where a value came from. Authority lineage asks who allowed that value, model or recommendation to influence reality.
Developed in The Machine Can Recommend →Read access is not recommendation authority. Recommendation authority is not approval authority. Approval authority is not execution authority.
Developed in The Machine Can Recommend →The goal is not simply faster reports. It is better judgement at the point where people, systems and consequences meet.
Developed in From Data Processing to Decision Intelligence →Some of the hardest questions about AI are not about outputs alone, but about what can and cannot be known from the outside.
Technology can process, predict and recommend. Meaning, responsibility and wisdom still need a human home.
Developed in Understanding Drift →From map to writing
This page is the conceptual map; the Essays page is the complete publication index. Keeping those roles separate makes both easier to use.
Browse the complete essay collection →The thread beneath the work
This page is a living map. As the writing grows, the ideas will become clearer, sharper and more useful.