From Chaos to Structure – Automating a Messy Human Process
In this case study, I show how a messy human workflow can be turned into an AI-assisted automated system. Instead of starting from tools, the system is designed by first discovering the shape and components of the human process, and only then mapping it into an automated pipeline. Using expense receipts as the example, I argue that the real challenge is not just the manual, time-consuming work, but dealing with ambiguity, partial information, and state and that a process-first approach leads to an architecture where tools play clear, limited roles instead of becoming the design














