Insights
AI or another hire? How to decide what to automate first
In short: Hiring adds salary, benefits, onboarding, and management. Automation can remove repetitive reporting, data entry, and document work while leaving judgment to people. Start with one frequent task that follows clear rules. Measure the time saved, then decide whether a hire is still needed.
When the work piles up, the reflex is to hire another person. Sometimes that's right. But a surprising amount of what a new admin would do is repetitive work with clear rules that a reliable automation handles for a fraction of the cost, freeing your existing team for the judgment work only people can do.
The test: is the task repetitive and predictable?
Automation shines when a task is done the same way every time and follows clear rules: retyping invoices into your accounting system, pulling the same weekly report, sorting and filing incoming documents, moving data between a CRM and a spreadsheet. If a task needs human judgment, empathy, or negotiation, it wants a person. Most operations are a mix. The goal is to take the repetitive slice off people's plates.
Run the numbers honestly
Take a full time administrative hire. The median U.S. secretary or administrative assistant earned $47,460 a year as of May 2024, and employer benefit costs run about 30% of total compensation on top of wages. Call it $5,600 a month before a desk, software, or anyone's time to manage them. Both figures are the government's, and they're linked at the bottom of this page.
Against that, a single automation that removes a four hour weekly report returns roughly 200 hours a year, and is often built once for a fixed price. That is a real comparison, but it is not the same comparison: the hire also answers the phone, catches the thing nobody specified, and covers the work you haven't thought of yet. You don't have to choose “never hire”; you choose to hire for the work that actually needs a human.
Which task to start with
Pick the task that is (1) repetitive, (2) costs the most hours, and (3) doesn't touch your most sensitive data on day one. That last point keeps your first project safer. Prove the value on something concrete and measurable, then expand. Trying to automate everything at once is the fastest way to automate nothing.
The trap to avoid
Don't automate a broken process. You'll just make the mess faster. If a workflow is confusing to a person, fix the workflow first, then automate the clean version. Sometimes the honest recommendation is that AI isn't the answer at all, and a simpler tool or a process change is. That's a win too.
If you want a straight read on which of these fits your business, book a free discovery call. If AI isn't the right tool for your problem, I'll tell you.