How a 60-Person Business Saved $80,000 a Year With AI

Five million in revenue. Sixty staff. Eighty thousand dollars a year back on the bottom line.

That is not a headline number by enterprise standards, and I like it for exactly that reason. It is the size of result an ordinary Australian business can actually get, on a budget it can actually approve, in a timeframe short enough that the person who signed it off is still in the job when it lands.

There was no platform involved. No transformation programme. Five steps, and none of them are clever.

One: the workshop

Everyone in one room, and one question on the whiteboard.

What do we do that is repeatable and happens on a computer?

That is the whole brief. Repeatable, because a thing that happens once is not worth automating. On a computer, because if it is not already digital you have a different project on your hands first.

The part that makes or breaks the workshop is the homework. A week beforehand, everyone writes down what they actually do — not their job description, their week. The tasks, in order, with a rough sense of how long each one takes.

Ask people to recall their own work cold in a meeting and you get the interesting parts, because those are the parts they remember. The waste is invisible from the inside. Nobody thinks to mention the twenty minutes every morning spent copying yesterday's numbers into a spreadsheet, because it is not a task to them. It is just what starting work looks like.

Get everyone in the room, too. Not the managers with a summary. The person doing the job knows where the process actually breaks, and they know which step everyone quietly skips.

Two: the roadmap

You come out of that workshop with a long list. Most of it is not worth doing. The roadmap is how you work out which parts are.

Score each task three ways.

Time spent. How many hours a week does this eat across everyone who touches it? A ten-minute job done by fifteen people every day is a bigger prize than a two-hour job done by one person monthly.

Human risk. What happens if this gets done wrong and nobody notices? An invoice going out with the wrong number is one thing. A clinical or safety record being wrong is another. High risk does not mean do not automate it — it means the checking step has to be designed properly, and that costs more, so it needs to earn its place.

Human enjoyment. This one matters more than people expect. If you automate the part of someone's job they actually like, you will get resistance and you will deserve it. If you automate the part everyone dreads, you get an internal champion for free. The best first project is almost always the one somebody will thank you for.

Then weigh it up: value on the top — hours returned and quality gained — over risk on the bottom, meaning how badly a mistake hurts and how hard the process is to pin down in the first place. Highest value, lowest risk, first.

And a simple rule that saves a lot of money: if it only happens once a year, skip it. The build cost is the same and the return arrives twelve months later.

Three: the timeline

Write one down, commit to it, and make it honest.

The honest part means working around the business as it actually runs. Every business has a season where nobody has a spare hour — end of financial year, the busy quarter, the audit, the shutdown. Scheduling a rollout into that window does not compress the work. It just guarantees the project gets ignored and then blamed.

A timeline that admits the team has other priorities is a timeline that survives contact with the team.

Four: choose a developer, not a vibe

This business looked at three options: an AI coding tool, an agency, and an actual software developer.

They went with the developer, and I think that was the single decision that made the rest of it work.

Here is the reasoning. AI coding tools are genuinely good at producing something that runs. They are much less good at producing something that keeps running — that handles the input nobody anticipated, that fails loudly instead of quietly, that someone can pick up and change in eighteen months. A developer has spent years being on the receiving end of software that does not do those things. They have worked with quality assurance. They know what a test is for, and they know that the interesting part of any system is what it does when something goes wrong.

That discipline is the whole ballgame in automation, because an automation that is quietly wrong is worse than no automation at all. The failure mode is not a crash. It is a number that has been slightly off for six weeks. I have written before about the ways an AI project goes wrong, and nearly all of them come back to nobody owning the checking.

Use the AI tools. We do, heavily. Just have someone in the chair who knows what good looks like.

Five: collect the cheque

Here is where the eighty thousand came from, and it is not what people assume.

Nobody was made redundant. The saving came from one observation: the most valuable person in the business was spending about half their time on work that did not need a person at all. Moving information between systems. Rekeying. Chasing.

That is the pattern I see in nearly every business I walk into. The better someone is, the more of that work ends up on their desk, because they are the one who gets it right. You end up paying a premium salary for data entry and calling it seniority.

Half of one high-value person's week, back. That is the line item. Say it out loud and it sounds modest. Put it on a five-million-dollar cost base, every year, and it is not modest at all.

What this does not prove

It does not prove AI works. It proves that a specific, repeatable, well-understood process was worth automating in a business that was willing to be honest about where its time went.

Every step above is a place it could have gone wrong. Skip the homework and the workshop surfaces the wrong tasks. Skip the scoring and you build the impressive thing instead of the valuable one. Skip the developer and you get something that works in the demo. I have made a fairly complete list of those mistakes elsewhere, and it is not a theoretical list.

But the shape is repeatable, and it is not expensive to start. The workshop is a morning. The roadmap is an afternoon. You will know inside a week whether there is eighty thousand dollars sitting in your business, and in most businesses this size, there is.

Your competitors already know that. Time is money, and right now a lot of yours is being spent on work that stopped needing a person some time ago.

If you want to run that morning in your own business, come and have a chat with us — or get this kind of thinking weekly.