The problem is rarely technical. It's that nobody mapped the operation first.
Most automation projects fail before the first line of code is written. The failure happens in a meeting room, when someone says "we should automate this" and everyone nods, and nobody asks what "this" actually is.
Here's what we see repeatedly: a team identifies a painful manual task. Someone champions automating it. A tool is selected. A workflow is built. The workflow runs. And six months later, the team is maintaining a complex automation of a process that probably shouldn't have existed in the first place.
"A well-built system solving the wrong problem is worse than no system."
The automation works perfectly. It's just automating the wrong thing.
The root cause is almost always the same: the process wasn't mapped before the solution was designed. Someone looked at the symptom, the manual task, and jumped straight to the remedy, without asking why the task exists, whether it needs to exist, and what it's supposed to produce.
Good automation projects start with a boring, important question: what does this process actually do, end to end? Not what does the manual task do. What does the whole process do. Who triggers it. What decisions happen inside it. What the output actually is and who uses it.
Only after that question is answered properly does it make sense to talk about automation.
If you're starting an automation project, start with the audit. Spend a week mapping before you spend a month building. It will feel slow. It will save you from building something that doesn't help.
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