Framework
Reverse Engineer Before You Reengineer
Understand how the work really happens before using AI to redesign it.
I often see teams begin with the future state. They choose a model, sketch an automated workflow, and estimate how much faster the new process could be. The current process gets summarized in a few boxes on a slide.
That is usually not enough. The documented process may describe the standard path, but the real work lives in exceptions, judgment calls, email threads, and handoffs between people who know how to keep the process moving.
Before redesigning anything, I ask simple questions. What starts the work? What information is required? Who makes each decision? Where does the process stop and wait? What happens when the input is incomplete? Who owns the final outcome?
The answers should come from the people doing the work, not only from the procedure. Walk through recent examples. Compare what was supposed to happen with what actually happened. Make the exceptions visible. They often explain why the process costs more than leaders expect.
This does not mean preserving every old step. It means knowing why a step exists before removing it. Some steps are waste. Others manage risk, resolve ambiguity, or compensate for a system that does not contain the information people need.
Once the current process is clear, the redesign gets more honest. You can decide what AI should handle, where a person should remain involved, and which upstream problem needs to be fixed first. You can also estimate the economics against work that is actually happening today.
Reverse engineering is not analysis for its own sake. It is how you avoid automating an incomplete understanding of the business.