TL;DR: Automation usually fails from automating a bad process, biting off too much, poor data upkeep, and a lack of human control. These are all mistakes that are easy to avoid if you know them in advance.
Failure rarely comes from the technology
When automation fails, the culprit is usually not the tool but the approach. The same mistakes repeat from company to company, and all are predictable and avoidable. Knowing these traps is half the job.
Better to learn from others' mistakes than to repeat them yourself.
Mistakes that keep repeating
- A bad process. Automating a mess only speeds up the mess; fix the process first.
- Too big a bite. Everything at once instead of one clear process to start.
- Neglected data. Without tidy data, even the best flow gives a poor result.
- Zero control. Fully handing off with no human check where there's risk.
Measurable results
- A better chance the first project succeeds
- Less time and money lost on the wrong approach
- Realistic expectations and a clear plan
FAQ
How do we avoid biting off too much?
Start with one clear process, prove the value, then expand gradually.
Do we need to fix the data first?
At least the data that enters the process; a tidy input is a condition for a good result.