Most processes are not designed.
They evolve.
Over time, they accumulate exceptions, workarounds, manual overrides, and dependency on specific individuals.
What looks like a process is often a set of loosely connected actions held together by experience and effort.
That may work with humans.
A bad process with AI is still a bad process — just faster, louder, and harder to unwind.
It does not work with automation.
The mistake is trying to map inputs, define outputs, and insert AI before understanding how the work actually happens under pressure.
In reality, approvals rarely follow a clean path. Data arrives incomplete. Teams interpret rules differently. Decisions rely on context that is not captured in systems.
AI cannot navigate undefined behavior.
Before automation, the process has to become observable, repeatable, and controllable.
Decision points need to be defined. Exceptions need to be categorized. Handoffs need to be visible. Variability needs to be understood.
AI does not create structure.
It depends on it.
Fix the process first. Then accelerate it.