AI consulting guide /
What is worth doing, and what has to be true before anything is built.
We look at the jobs your business repeats every week and send you back which of them are worth automating first.
By Reece Rainer
spareday, Newcastle NSW
Last updated
31 August 2026
Read time
6 minutes

AI consulting is working out what is worth doing with it in a particular business, and what is not. Most of what comes out of it is automation, which means a job that runs without anybody remembering to do it.
The reason it exists as a separate thing is that most businesses are being sold tools before anybody has looked at how they work. What follows is where it genuinely helps a Newcastle business, what it will not do, and what has to be in place before anything gets built.
Looking at how a business actually works, finding the jobs that are repetitive and written down, and deciding which of them are worth automating and in what order.

The work itself is plain. Somebody sits with the people doing the job, writes down what happens, and looks for the parts that happen the same way every time.
The output is a short document naming what to do, in order, with the ones to leave alone named as well. Building it is a separate job and it is the easier half.
The tools are cheap and plentiful. What is scarce is knowing which job in your particular business is worth handing to one, and that answer does not come out of a product demonstration.

Every small business owner in Newcastle is being sold something with AI in the name. Most of them are perfectly good products, and most of them are being bought before anybody has asked what job they are for.
What follows is a familiar pattern: a subscription, a fortnight of enthusiasm, and then nobody uses it because it did not fit how the work actually happens.
The deciding is the part that stops that, and it is cheaper than the tools. It is also the part nobody sells, because there is no subscription attached to it.
It will not make a judgement call you would want to stand behind, it will not fix a process nobody has written down, and it will not know anything about your business that you have not told it.
Being clear about the ceiling is the part of this conversation that gets skipped, and it is what makes the rest of it usable.
The federal government's AI ethics principles put accountability and transparency at the centre for the same reason, and they are short enough to read in one sitting.
The job has to be written down, the facts it needs have to exist somewhere, and somebody has to own reading what it does. Missing any of those, building is early.
Almost every automation that quietly fails was built before one of these was true, and each of them is a job for the business rather than for us.
Sit with the work, list the repeated jobs, cost them honestly, pick one, write its facts and limits, then build the smallest version and read everything it does.

With the people who do it, not with the owner's description of it. The gap between those two is where most of the findings are.
Everything that happens the same way every time. Include the small ones, because frequency matters more than size.
How often, how long, and what happens when it is missed. This is what turns a list into an order.
The one with the best ratio of frequency to difficulty. One done properly beats five started.
What it answers from, and what it must never say. An hour, and it decides whether customers like the result.
Then read everything it does for a fortnight. Then, and only then, the next one.
The looking is short. Writing down how a job actually happens takes longer than anybody expects, and it is the part that determines whether the building works.
A business that wants something no tool currently does is asking for software to be built, which is a different job with a different timeline. It is worth naming as one rather than discovering it.
Ask what they will look at before recommending anything, whether they sell the tools they recommend, who owns what gets built, and what they would tell you not to do.

We do this work in Newcastle, so we are not neutral. These are the questions we would want asked of us.
Plenty of businesses go through this and find one small thing worth doing. That is a good outcome and it is worth saying, because the alternative is a project nobody needed.
If you do one thing after reading this, write down the jobs your business does the same way every single week. That list is the entire conversation, and almost nobody has one.
Consulting is deciding what is worth doing and in what order. Automation is building it. The deciding is cheaper and it is the part that gets skipped.
One job that happens the same way every week, with the steps written down. Frequency matters more than size.
It will not make a judgement call you would want to stand behind, and it will not fix a process nobody has written down.
Often not. Plenty of businesses already own tools with the feature they were about to buy again.
Then that is the answer, and it is a good outcome. A project nobody needed is more expensive than a short piece of advice.
One monthly fee that covers everything, month to month, with no lock-in contract. The number depends on what your business needs, so we give it to you on the call.
Reece has a strong understanding of AI agents and automation, and was happy to share how he uses it in his business and how to apply it within mine.
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