Why Most Companies Automate the Wrong Process First

Every company I talk to has a list of things they want to automate. Invoice processing. Onboarding emails. Slack notifications for a status change. Almost none of it is the right place to start, and almost everyone starts there anyway.

The reason is simple. People automate what they can see. The annoying, repetitive task that happens in front of them every day feels urgent because it's visible and irritating. But visible and irritating is not the same as expensive. The process actually costing you money is usually hiding somewhere less obvious: a handoff between two teams, a judgment call that happens inconsistently, a reconciliation step nobody owns.

Visible pain is not the same as real cost

If you ask ten people in an org what should be automated first, you'll get ten versions of "the thing on my desk." That's a biased sample. The person closest to the pain is rarely the person who can see the full cost of it, because the real cost usually shows up downstream, in a different department's error rate, a customer complaint, or a delay nobody traces back to its source.

A good automation candidate has three things: it happens often, it's rule-based enough that a human doing it well isn't actually adding judgment, and its failure or delay has a cost you can point to. Most teams only check the first box. They automate something frequent and annoying, and feel busy, without asking whether the thing they just sped up was ever worth doing fast in the first place.

Speeding up a bad process is still a bad process

This is the part people skip. If a process is broken, confusing, or exists because of some old policy nobody remembers, automating it just makes the broken thing happen faster and with less visibility into why it's broken. You don't get efficiency, you get a black box that's hard to debug when it eventually causes a problem. The right sequence is: question whether the process should exist as-is, fix what's actually wrong with it, and only then decide if it's worth automating.

At Esipick, we learned this the expensive way. Early on we automated a customer follow-up sequence because it was tedious to do by hand. It worked, technically, it ran faster and never forgot a step. But the underlying process had a flaw: we were following up with everyone the same way regardless of why they'd gone quiet. We'd just made a mediocre process run at scale. The fix wasn't a better automation, it was going back and rethinking what the process should actually do, then automating that.

How I actually pick now

Before automating anything at Esipick, I ask where the money or time is actually leaking, not where the complaints are loudest. I trace a process end to end, including the parts outside the team that's asking for automation. If I can't point to a concrete cost (hours, errors, lost deals) I don't touch it yet. And I ask whether the process itself would survive scrutiny even without automation. If the answer is no, that's the actual project.

Automation is a multiplier. It makes good processes faster and bad processes louder. Most companies find that out after they've shipped the automation, not before.