Daniel Kornum

Varick describes its work as transforming manual enterprise operations into AI-run workflows. Kornum’s current professional profile identifies him as its Head of FDE and lists earlier work at Citadel Securities and McKinsey. His writing connects that operational background with the practical constraints of changing how a business works.[1][4]

Look for the work that coordinates other work

In his low-margin-business essay, Kornum examines scheduling, dispatch, approvals and exception handling. Those activities can consume substantial effort without being the physical service a customer buys. He argues that reducing coordination costs can matter especially where existing profit margins are thin. This is a thesis about where to investigate AI deployment, with the result depending on the business and implementation.[2]

A better model does not automatically change the operation

You Don’t Need Better Models argues that organizations should investigate their actual workflows rather than treat every new model release as the main deployment decision. The work includes identifying where information and decisions move between people, then designing the surrounding system to carry out the task. The essay places integration and process design between model capability and an operational result.[3]