Why Automation Projects Fail

The Sequencing Mistake

An automation project can fail not because of the technology, but because it tried to automate a process that was never clearly defined.

A process that only works "because Maria knows what to do" isn't a process — it's a person.

Once you automate it, you may discover that exceptions make up a significant share of the cases, and that a written rule never actually existed.

Three Signs You Shouldn't Automate Yet

Nobody can draw it. If two people on the same team sketch the process differently, there isn't one process — there are two.

Automating the happy path is easy.

The ideal path may cover only part of the cases, while the exceptions can hold the hardest work to define.

The result isn't verifiable. If nobody can say whether the outcome was correct after automating it, you didn't automate a process — you hid it.

What to Do First

Before automating, it's worth making the process explicit and tedious: write it down, include the exceptions, and decide what happens when something fails.

That work can reveal that part of the process shouldn't exist at all. Removing a step can be cheaper and faster than automating it.

Automating Is Not the Same as Integrating

Connecting two systems so they share data doesn't automate the operation by itself — it can simply move the problem.

Automation begins when a decision a person used to make is now made by an explicit rule, and someone is accountable for that rule.