From Doing the Work to Directing It: How the Best Person in Your Local Business Becomes 100x

There is a person in every good local business who is worth five of anyone else. They know the customers, they know the work, they catch the problems before they happen, and the whole place runs smoother when they are around. Often it is the owner. Sometimes it is one key employee who has been there fifteen years. You know exactly who I mean in your shop.

The big idea coming out of the tech world right now, the one ClickUp's CEO put a number on when he announced his 100x company in May, is really a story about that person. And it has nothing to do with software. It is about what happens when your most valuable person stops doing all the work themselves and starts directing the work instead.

The Shift, in Plain Terms

The old model of a great employee was someone who could simply do more than everyone else. Faster, better, more reliable. The new model is different. The most valuable person is no longer the one who does the most work. It is the one who can direct a set of AI systems to do the work, and then apply judgment to make sure it was done right.

Evans made this point about engineers. The best ones, he said, stop writing most of the code themselves. They direct AI to write it, then review and refine it. And here is the key insight that travels straight to a local business: reviewing the output of a system you directed is much faster than doing the work from scratch, because you already know exactly what you were going for. You set the intent. You just check that the result matches it.

A contractor in Niagara already does this with a crew. You do not pour every foundation yourself. You direct skilled people, then you walk the site and check the work against what you know it should be. The 100x shift is the same instinct, applied to the operational side of the business, with AI systems handling the parts a crew never could: the quoting that happens at 9pm, the follow-up that falls through the cracks, the scheduling puzzle, the customer who needs an answer before you are back in the office.

What This Looks Like in a Real Local Business

Picture a family service business in Haldimand County or West Lincoln. The owner spends half their day on work that does not require them: typing up quotes, chasing invoices, answering the same ten questions, rescheduling jobs, copying information between systems. None of it grows the business. All of it has to happen.

The 100x version of that owner does not do those things anymore. They direct AI systems that handle the quoting, the follow-up, the scheduling, and the routine questions, built around how their specific business actually works. The owner's job becomes setting the standard, reviewing what the systems produce, and stepping in where judgment is needed. They go from spending half their day on operational work to spending almost none of it, and that reclaimed time goes where it always should have: in front of customers, on the relationships that bring the next contract.

That is the whole move. Not replacing the person. Promoting them, from doing the work to directing it.

The New Role Nobody Has a Name For Yet

Evans described a role he calls the agent manager, the person who owns and maintains the AI systems. In a big company that is a job title. In a small local business, it is a hat your best person wears, often the owner at first.

He put it bluntly: the people who automate their own work with AI will always have a job, because they become the owners of the systems. For a local business, that is the most important sentence in the whole story. The person who learns to direct these systems does not work themselves out of a role. They become the most indispensable person in the company, because they are the one who built and runs the engine everything else depends on.

The One Thing Not to Get Wrong

Here is the trap. It is tempting to measure this by activity. We automated fifty things. The system sent two hundred messages. Look how much it is doing. That is the wrong scoreboard, and Evans flagged it directly. Volume is not the point. Customer outcomes are.

For a local business the real scoreboard is simple. Did we keep every client we should have kept. Did the work get done right. Did we grow without burning out the team or adding overhead we could not afford. Did the owner get their evenings back. A system that produces a flood of activity but loses you a long-time customer is a failure, no matter how busy it looks. Judge the change by what happens to your relationships and your bottom line, not by how much the machine is doing.

Why the Relationship Stays Human, and Gets More Valuable

The part of this I care about most is the part Evans got right and most people missed. He called direct customer interaction the least automatable role and the one that becomes most valuable as everything else gets automated.

In Niagara and West Lincoln, that is not a prediction. It is how it has always worked. The contract goes to the person the customer trusts. The referral comes from the relationship, not the algorithm. As AI handles more of the routine work across every business, the human relationship stops being one factor among many and becomes the whole difference. The businesses that free their best people to spend more time on relationships, not less, are the ones that will own their corner of the region.

That is the real promise of the 100x idea for a local business. Not a smaller team. A team pointed at the right things. The machine handles what was never the point. Your people handle what always was.

Aloomii is a Forward Deployed AI firm based in Caledonia, Ontario, built for the relationship-driven businesses of Niagara, West Lincoln, Haldimand County, and the surrounding region.