When Automation Cuts Both Ways

I have seen this firsthand: a process can look completely automated on paper while still creating more work because nobody stopped to check what the system was actually producing.

AI can save a huge amount of time. It can also help you make the wrong process faster. That is the part I think businesses need to be more careful about.

One of the problems with automation is that it does not know whether the process underneath it makes sense.
If the input is wrong, it can repeat the mistake faster. If the rule is incomplete, it can apply the wrong rule consistently. If nobody checks the result, the problem can travel much further before anyone notices it.

That is why I would rather automate a good process than automate a broken one. Sometimes a process needs to be fixed before it should be automated at all.

There are tasks that are repetitive by nature: moving information between systems, sorting incoming requests, preparing first drafts, or checking large amounts of data for obvious issues.

These are good places to look for automation because the goal is not to remove judgment. It is to remove work that does not need much judgment in the first place. That gives people time back for the parts of the operation where context actually matters. Just because a tool can automate a decision, doesn't mean it should. Capability is not the same as suitability.

Before automating a task, ask: What happens when the system is wrong? The answer tells you exactly how much review the process needs.

For low-risk, repetitive work, automation can take most of the load. But for decisions involving money, exceptions, or anything where one wrong output creates a larger problem, human review should remain part of the process where judgment, risk or exceptions matter.
I do not see human review as proof that automation failed, I see it as part of designing the process properly.

The system catches what is repetitive. The person checks what needs judgment.

Instead of asking, “Can we automate this?” ask: “What should automation take off our plate, and what should it leave with us?”

I do not think the future is humans versus AI. The useful model is usually both. Use AI where it saves time, improves consistency, or helps a team handle more volume. Keep people involved where context, judgment, and accountability matter.

The goal is not full automation. The goal is better work with less unnecessary work around it.