Stop Paying Humans to Do Robot Work
If you sit down with the team you're paying and look honestly at what they did this week, you'll find two completely different kinds of work mixed together.
Some of it required judgment, reading a customer's tone, deciding whether to push a deadline, knowing which exception is worth making. The rest was pattern-matching. Copy this number into that field. Tag this email. Move this file. Send the same reminder you sent last Tuesday.
You're paying the same hourly rate for both. That's the leak, and the good news is it's one of the easiest ones to fix.
The Two Kinds of Work in Every Business
Give them names so you can talk about them clearly:
- Judgment work - requires context, experience, and the ability to weigh trade-offs. The output changes based on the situation.
- Robot work - follows rules. Same input produces the same output. Nothing about it benefits from a human doing it slower and more expensively than a machine would.
Judgment work is what you hired your team for. Robot work is what's quietly eating their week.
According to McKinsey Global Institute, about 60% of all occupations have at least 30% of their constituent activities that could be automated using already-demonstrated technologies. That's not a future projection. That's now. And in small businesses with leaner teams, the share of robot work hidden in everyone's day tends to be even higher.
of occupations have at least 30% of activities that can be automated with current technology (McKinsey Global Institute, 2017)
How to Tell Which Is Which
Here's a sorting test. For any task in your business, ask three questions:
1. If I gave this to ten different people, would they all do it the same way?
If yes, it's robot work. You don't need ten different versions of the answer, you need one consistent one. That's exactly what software is good at.
If no, dig into why. Sometimes the variability is real and valuable. Sometimes it's just chaos that nobody has cleaned up.
2. Does this require knowing something about the specific situation, or just following the rule?
Robot work has a rule. "If the invoice is from a known vendor and under $1,000, code it to the vendor's standard category." That's a rule. Anyone, or anything, that knows the rule can execute it.
Judgment work has to read between the lines. "This client always pays on time, but their last three payments came late. Is something going on we should know about?" That's not a rule. That's pattern recognition with relationships attached.
3. Could I write the instructions down on one page?
If the entire task fits on a printed page of instructions, it's automatable. The reason people don't automate it isn't difficulty, it's that the instructions live in someone's head, and writing them down feels like more work than just continuing to do the task.
The tasks you're most resistant to documenting are usually the ones that would benefit most from automation. The resistance is the tell.
What This Looks Like in Dollars
Picture a small business with three administrative staff at $25 an hour. Each spends roughly 40% of their week on pure pattern-matching tasks: data entry, filing, sorting, routing, sending the same email for the tenth time this month.
That's about 16 hours per week, per person. 48 hours of robot work weekly. $1,200 a week. Just over $62,000 a year.
And that's only the cash cost. The hidden cost is what those people aren't doing while they're stuck on robot work: the judgment work you actually hired them for. The relationship-building, the problem-solving, the work that compounds over time.
What to Hand Off and What to Keep
Once you've sorted, here's the rule of thumb. Hand off the work that's:
- Repetitive and high-volume (you do it dozens or hundreds of times a week)
- Rule-based (the decision tree is finite and writeable)
- Low-stakes per instance (one mistake isn't catastrophic, or is caught by a downstream check)
- Time-sensitive (the value drops the longer it sits)
Keep the work that:
- Requires reading a situation, including tone, relationship history, and context
- Involves a real trade-off, where two reasonable options exist and someone has to choose
- Creates trust, like a phone call, an apology, or a hand-written follow-up
- Sets direction, including strategic decisions that ripple through everything else
The risk isn't automating too much. The risk is automating the wrong things, the judgment calls, and leaving humans to do the robot work.
For one week, have your team track every task they do for 15 minutes or more. At the end of the week, color-code the list: green for judgment, yellow for "mostly robot but needs a human eye," red for pure robot work. The red column is your roadmap.
What to Do Next
You don't need to automate everything at once. Find the worst offender and start there.
- Run the color-coding exercise. One week, your whole admin team. Be honest about the red column.
- Pick the single task that takes the most red hours. That's where the ROI is.
- Test one solution against that one task. Measure the time savings for 30 days. If the math works, expand. If it doesn't, you've lost a month, not a year.
Your team is too valuable to spend their day on robot work. CoreAgentic's free AI Readiness Assessment can help you identify the highest-leverage tasks to automate first, with no obligation. Pay your people for their judgment. Let something else handle the rest.
Written by
Michael Sweeting
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