Automation gets talked about mostly in terms of what it can do for you - the hours it saves, the tasks it handles, the headspace it frees up.
Less talked about: what happens when it doesn't work. Because it does go wrong - usually not dramatically (assuming it’s been set up with the right safeguards and error handling), but often enough that it's worth being clear about the risks before you start.
The most common ways automation fails
It gets set up and forgotten
Someone builds a workflow, it runs fine for a while, and then something changes. Maybe it’s a software update that changes the way a tool in the workflow behaves, or a team member starts using a slightly different process that changes the automation’s trigger, or it could even be as simple as a client changing their preferred communication method.
By the time someone realises the automation has stopped working as it should, you could have a backlog that’s quietly built up, or something important has slipped through the cracks.
Automation does need oversight. Not constant daily attention, but regular checks to confirm things are still running as expected. Or, even better, error handling built in that alerts you when something goes wrong.
Without that oversight, even a well-built system will eventually drift out of alignment with how your business actually works.
It gets built around a broken process
Automation speeds things up (that's the point!) but if the process you're automating is already flawed, automating just moves the flaw faster and at greater scale.
A common example: a business automates their client onboarding before they've properly mapped out what that process should look like. Six weeks later, new clients are receiving confusing or incomplete information automatically, and nobody's manually catching those gaps anymore because everyone assumed the system was handling it.
Before you automate something, it's worth making sure the underlying process is actually working the way you want it to.
It's too complex from the start
There's a tendency (especially when getting excited about what's possible) to build automations that try to do too much.
Complex systems are harder to troubleshoot when something breaks, harder to hand over if a new team member needs to manage them, and harder to update when your business grows or changes.
The most reliable automations tend to start simple. A single trigger, a clear action, a specific outcome. You can build complexity in over time once the basics are running well.
It removes the human where the human was actually needed
Not everything should be automated, but that line isn't always obvious.
Automated appointment reminders work well. An automated response to a client who's just had a difficult experience with your business, not so much. Automated invoice follow-ups for standard accounts make sense. Automated follow-ups for a long-term client who's been slow to pay because of a genuine hardship, not ideal.
The question to ask is: does this task benefit from context, judgement, or a personal touch? If yes, automation might handle the trigger, but a human should be making the call.
The tools aren't connected properly
At its core, most automation relies on different software systems talking to each other. When those connections are set up incorrectly or without testing, data gets duplicated, goes to the wrong place, or simply doesn't arrive.
This kind of error is often invisible at first, and only surfaces when someone goes looking for a record and can't find it, or when a client mentions they've received conflicting information.
Proper setup and testing before you go live matters more (and takes longer) than most people account for.
What makes the difference
The automations that hold up over time tend to have a few things in common.
They were built around a clear, working process.
They started simple and got more sophisticated over time.
Someone is responsible for maintaining them, not just running them.
Safeguards and error handling are built into the workflow.
And there's a human layer in place to catch what falls through.
That last point is important. Automation works best as part of a broader support structure, not as a standalone solution. When a VA is managing your automations, they're not just watching for errors; they're also the person who handles the exceptions, spots the patterns, and adjusts the system when something shifts in your business.
That combination, automation doing the predictable work and a person maintaining the system and handling the rest, is what makes the whole thing reliable.
None of this should put you off automation.
The upside is huge: less repetitive work, more consistency, a business that runs more smoothly with less manual effort. But going in with a clear picture of where it can go wrong means you're much better placed to avoid those pitfalls.
If you're thinking about introducing automation to your business and want to talk through how to approach it in a way that'll actually hold up, that's exactly the kind of conversation worth having before you start building.
Book a free chat with us today to see how this could work for you.
