Myth: Automating a Bad Process Will Automatically Save Time

A manager finally gets approval for automation software. Everyone’s excited. A few weeks later, the same mess is still there — just moving faster.

Myth: Automating a bad process will automatically save time.

I used to think this was mostly true too. If people are doing something manually, and software can do it faster, then of course you save time. That sounds obvious.

But in real businesses, automation is an amplifier, not a cleanup crew.

If the underlying process is clear, repeatable, and boring, automation can be great. If the process is full of exceptions, side conversations, missing information, and "well, Susan usually knows what to do here," then all you’ve done is put a motor on a shopping cart with a bent wheel.

It still pulls to the left.

That’s why so many automation projects disappoint. Gartner reported that a large share of organizations using RPA had to start over because they tried to automate fragmented, nonstandard processes. That tracks with what I see: the software usually isn’t the real problem. The process is.

There’s an important difference between automating a task and improving a process.

Say your team copies customer info from email into a spreadsheet, then into invoicing software, then into a CRM. You can automate one of those steps and reduce keystrokes. Great. But if approvals still sit in someone’s inbox for two days, or half the incoming info is incomplete, your end-to-end turnaround may barely improve. You didn’t fix the road. You just bought a faster truck.

That’s also why articles like Before You Buy New Software, Find the Bottleneck You Actually Have and If You Need Three Logins to Finish One Task, You're Losing Money matter. A lot of owners focus on the visible manual step, when the real drag is the handoff before it or the rework after it.

Bill Gates had a line I still think is right: automation applied to an efficient operation increases efficiency; automation applied to an inefficient one increases inefficiency. That sounds harsh, but it’s practical.

Sometimes a bad process really does save time when you automate part of it. I want to be fair about that. If you remove a repetitive admin step, your team may absolutely feel relief right away. But the work often shows up somewhere else: more exception handling, more customer support, more fixing bad records, more maintenance on brittle automations.

That trade-off matters.

The best automation candidates are usually simple: high-volume, rules-based, low-variation work. Not everything should be automated. I wrote more about that in When NOT to automate: the tasks that still need a human.

So what should you do before automating?

First, write down the current steps. Not the ideal version — the real one.

Second, count the exceptions. If 20% of cases are weird, that 20% may be where most of the pain lives.

Third, look upstream. Bad inputs create bad automation. If information arrives incomplete, inconsistent, or buried in email, software will process garbage faster.

Fourth, standardize before you automate. In Lean thinking, the order is basically: stabilize, standardize, then automate. I think that’s exactly right.

And fifth, measure something before you start — cycle time, rework, error rate, whatever actually matters. If you don’t know the baseline, you can’t tell whether the automation helped or just made the mess harder to see.

For a lot of businesses around Northwest Arkansas and the surrounding region, the right move is not a giant software rollout. It’s a smaller fix: one cleaned-up workflow, one solid integration, one useful piece of business automation that supports a process your team can actually explain.

So yes, software can save time. A lot of it.

But if the cart already has a bent wheel, don’t be surprised when adding an engine just gets you to the wrong place faster.