There is a version of automation enthusiasm that goes too far. It treats every repetitive task as fair game, every process as a candidate for removal. I have built enough workflows to know where that thinking breaks down.
Some parts of your business should stay human. Not because automation cannot touch them, but because handing them off changes what they mean.
The Hiring Decision
I can automate resume screening. I can filter by keyword, rank by experience, schedule the first call, send the follow-up, log the outcome. All of that is fair game.
The moment I hand over the final call, I have made a different kind of mistake.
Amazon learned this the hard way. In 2014, they started building an AI resume-screening tool, training it on a decade of past applicants. By 2015, the problem was clear: because most of those resumes came from men, the model had taught itself to prefer male candidates. It downgraded resumes containing the word "women's" and penalized graduates of two all-women's colleges. They tried to fix it. They could not make it reliably neutral. They scrapped the project.
The bias was not a bug someone wrote on purpose. It came from the training data, which reflected the decisions of the humans who came before it. The model was optimizing for the past. Every hiring decision you make is a bet on the future. Those are not the same problem.
A candidate on paper can look like a poor fit and be the best person you ever hired. The resume does not show you how they handle the moment a project goes sideways, or whether they will tell you something you need to hear when it would be easier to say nothing. You cannot automate the read on that. You make it by being in the room.
Getting a hire wrong costs months. At minimum: the time to recognize it, the time to act on it, the time to start over. No workflow saves you from that. The decision stays yours.
The Creative Direction Call
In 2024, McDonald's in the Netherlands released an AI-generated ad. Consumers pushed back hard. McDonald's pulled it and described the experience as "an important learning."
The ad was not offensive. It was not inaccurate. It was wrong for the brand in a way that nobody caught until it was live. Ari Elkouby, chief creative officer at Dentsu Creative Canada, described the core problem: generative AI tools tend to default to the most statistically common visual output. The result is homogeneous and undifferentiated. Brands live and die by distinctiveness. The model does not know what makes your brand yours. It knows what most brands look like.
I run a video production company. Almost every administrative layer of a production can be systematised: the brief intake, the schedule, the asset delivery, the revision routing, the invoice.
There is one moment I have never tried to automate, because it cannot be automated.
A client says something is off. They cannot tell you what. The edit is technically correct. The shots are clean. The music works. Something is still wrong, and they know it but cannot name it.
That conversation is not an information-retrieval problem. It is a diagnosis. You have to understand what they were hoping to feel when they watched it, what they are actually feeling, and what the gap between those two things tells you about what needs to change. Sometimes the answer is in the footage. Sometimes it is in a brief that was never quite right. Sometimes it is in an expectation that was never made explicit.
The conversation is the work. No tool reads the room. No workflow closes the gap between what a client can articulate and what they actually mean.
If you automate the wrong end of this, you lose the client. Worse, you lose them without understanding why.
Where the Line Is
Automation belongs anywhere the task has a correct answer. Route the email, send the invoice, log the record, schedule the reminder. These have right answers and wrong answers, and a workflow executes them without fatigue or distraction.
Automation does not belong where the task requires you to own the outcome. The hiring decision. The difficult conversation. The call on whether a piece of creative work is actually done. These require judgment, and judgment requires someone who can be held accountable when it is wrong.
The goal is not to automate everything you can. It is to automate everything you should, so you have the time and attention left for the things only you can do.