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Find out where AI actually pays back in your business.

A fixed-fee audit that turns "we should probably be doing something with AI" into a short list of specific problems with dollar figures against them, in the order worth doing. You get a written report, and you own it.

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From $800 ex GST · fixed before we start

In short: an AI opportunity audit is a paid assessment that identifies where AI would genuinely save or make you money, ranks those opportunities by return, and hands you a written roadmap you own. AI4SMB runs them for Australian small businesses from $800 ex GST, fixed before the work starts. It is run by an MSP operator with 32 years in IT, so the assessment covers what your systems can actually support and not just what AI can theoretically do. If AI would not pay back for you yet, the report says that.

The problem with starting

"We should be using AI" is a feeling, not a problem.

That is the trouble with it. A feeling can be matched to whatever the person in front of you happens to sell, which is why so many businesses end up owning a tool that solves something they never had. Selling anything comes down to finding a problem someone will pay to solve. Buying technology is the same discipline pointed the other way, and it only works if you know your own problems first. The audit exists to write that list before anyone else writes it for you.

How it runs

Four steps, then a report you keep.

01

We find out what you hate doing

Not "where could we use AI". That question has hundreds of answers and none of them are yours. The useful questions are which tasks you hate, and which ones eat hours that should be going somewhere better. That is where the money is hiding, and you already know the answers.

02

We put dollar figures on it

"We miss calls after hours" is an observation. "We miss about ten calls a week after hours and a booked job is worth $400" is a business case. We work out the second version with you, because every recommendation later has to beat its own number.

03

We look at what you actually run

Your systems, your data, where it lives and what talks to what. Most AI projects fail on integration rather than on the AI, so this is the part that decides whether a good idea is a real one. It is also the part we have been doing for decades.

04

You get the report, and it is yours

A prioritised map, an ROI estimate per item, and a roadmap sequenced so each step stands on its own. Take it in-house, give it to your IT provider, or bring it back to us. All three are fine.

What is in the report

Three things, written for you rather than for a tech team.

Prioritised automation map

ROI estimate per opportunity

A sequenced roadmap you own - do it with us or take it in-house

The roadmap is sequenced so each step is useful on its own. If you stop after step one, step one should still have paid for itself. That is a deliberate constraint on how we write these, because half-finished technology projects are the norm in small business and a plan that only works if you complete all of it is a plan that mostly fails.

The honest bit

Some businesses need a lot of this. Some need almost none.

It rarely gets said because it is not good for business to say it. A café needs coffee made, tables turned and staff rostered, and the truthful recommendation there is usually a little help with ordering and paperwork. A trades business that lives in quotes, scheduling and follow-ups, or a clinic buried in bookings and reports, can hand over a genuinely large share of that work and feel the difference within weeks. Both are correct answers. Adapting to AI does not mean buying the maximum amount of it, it means matching what you adopt to the problems you actually have. An audit that comes back recommending very little is not a wasted audit. It is a decision made on evidence instead of on a feeling, and it has saved you from the alternative.

AI opportunity audits, straight answers

What is an AI opportunity audit?
It is a paid assessment that answers one question: where would AI actually make or save you money, and in what order should you do it. We look at how work moves through your business, find the tasks that cost you hours or lose you revenue, and test each one against what AI can genuinely do today. You get a written report with a prioritised list, a rough dollar figure against each item, and a sequenced roadmap. It is deliberately not a sales meeting with a report attached: the roadmap is yours, and you can hand it to anyone.
What does an AI opportunity audit cost in Australia?
Ours is a fixed fee from $800 ex GST, and the number is set before we start so there is no meter running. Price moves with the size and complexity of the business, not with how much we think you will spend afterwards. If the audit concludes that AI would not pay back for you right now, that is a legitimate result and you still get the report saying so.
I know I should be doing something with AI but I do not know where to start. Is this that?
Yes, and it is the most common reason people call. "We should be using AI" is a feeling rather than a problem, and a feeling can be matched to whatever a salesperson happens to sell. The audit turns it into a list of specific problems with dollar figures attached, which is something you can actually make decisions about. You do not need to arrive with a shortlist of tools or any idea of what is possible.
What do I actually get at the end?
A written report you keep. In it: a prioritised automation map showing what to do first, second and third and why; an ROI estimate against each opportunity so you can see which ones justify the spend; and a roadmap sequenced so each step is useful on its own rather than only paying off at the end. It is written to be read by you, not by a technical team.
Do I have to use you to implement it?
No, and the report is written on that assumption. You own the roadmap and you can take it in-house, hand it to your existing IT provider, or ask us to build it. We would rather sell an audit to someone who then walks away than a build to someone who was never going to get value from it. That is also why the audit is priced as its own product rather than being given away to win the work behind it.
How much AI does a small business actually need?
It varies enormously, and any answer given before looking at your business is a guess. A café mostly needs coffee made and staff rostered, so the honest answer there is a little help with ordering and paperwork and not much more. A trades business living in quotes, scheduling and follow-ups, or a clinic buried in bookings, can hand over a genuinely large share of that work. Both answers are fine. The wrong answer is an amount that does not match your actual problem list, in either direction, and that is what the audit is for.
Who does the audit?
Matt Pearce, who has 32 years in IT and runs a managed services provider supporting Australian small businesses. That matters here because most of what an audit turns up is not exotic AI work: it is how your systems currently talk to each other, where data actually lives, and what will break if you change it. Assessing that is ordinary infrastructure judgement, and it is the part a pure AI consultancy tends to get wrong.
What about our data and privacy?
It is part of the assessment rather than an afterthought. If AI is going to read your email, listen to your calls or hold your customer list, that information goes somewhere, and under the Privacy Act the obligation sits with you rather than with the vendor. The report names where data would go for each recommendation, and flags anything that would need answers in writing before you proceed. Where confidentiality rules it out entirely, we say so and look at options that keep data on infrastructure you control.

Start with your problems, not with a product.

Book an audit call. It is a conversation with a person about what actually costs you time and money, and it ends with a straight answer about whether AI is worth your money yet.

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