How much does AI automation cost in Australia?
The honest answer on AI automation cost in Australia: for a well-scoped first machine, expect $1,950 to set up and $295 a month to run. A larger workflow build, the kind that takes quoting or invoicing off your desk entirely, is scoped from $4,950 with a $495 monthly run fee. Work that reaches across your own documents and systems is priced per pilot, because no two document piles are alike.
Those are our published figures and they are on the page, which is unusual enough in this field to be worth saying out loud. Most AI implementation firms in Australia will not put a number in front of you until you have handed over an email address and sat through a discovery call. We think that is a strange way to start a relationship built on trust.
What follows is the honest version of what drives those numbers, so you can read anyone's quote properly, including ours.
What are you actually paying for?
You are paying for three things: the drawings, the build, and the running.
The drawings are the part people undervalue and the part that decides whether the project works. Someone has to sit with the people who do the job and map the process as it really runs, not as the org chart says it runs. Then it gets written down: what the machine will do, what it will never do, what it costs, and which numbers must move for it to count as a success.
The build is the wiring. Connecting to the tools you already use, testing against real scenarios from your own history, and tuning until it sounds like your business rather than a bot.
The running is the part nobody mentions in the sales meeting. Models change. Your prices change. A supplier renames a product line. Somebody adds a service. A machine left unattended for a year is not a machine, it is a liability. The monthly fee covers monitoring, tuning and support, and it is the reason a two-year-old build still behaves.
Why is there such a spread in AI quotes?
Because "AI project" describes work that ranges from a weekend of configuration to a year of systems integration, and most quotes do not tell you which one they are.
Three things move the number more than anything else:
How many systems have to talk to each other. One calendar is easy. A calendar, a job management system, an accounting package and a legacy database that only exports CSV on a Tuesday is not.
How messy the source material is. If your prices, policies and procedures live in one place and are current, the build is short. If they live in three inboxes, a shared drive and one person's head, the first real cost is archaeology.
How much autonomy you want, and how fast. A machine that drafts and waits for a human yes is far cheaper to get right than one trusted to act alone on day one. It is also the correct way to start, which is a happy coincidence.
Should you pay hourly for AI work?
No. Hourly billing on an AI build puts your interests and your supplier's in direct opposition, because every complication becomes revenue for them and cost for you. Ask for a fixed price agreed in writing before anything starts. If the scope was wrong, that should be the builder's problem, not a variation notice.
The same goes for open-ended retainers with no named deliverable. A monthly fee should buy monitoring, tuning and support against a stated standard. If nobody can tell you what the retainer produces, it is a subscription to hope.
What does the ongoing running cost cover, and are there surprises?
The monthly fee covers keeping the machine correct and available. The surprise to watch for is usage. Anything that answers calls or generates language consumes provider tokens or minutes, and volume is not always predictable. A tradesperson whose phone rings forty times in a storm week costs more to serve than a quiet fortnight.
Two fair ways to handle that, and you should insist on one of them. Either the agreement carries a clearly stated fair-use cap with a published overage rate, so you know the ceiling. Or the machine runs on your own provider accounts, so you see the bill directly and nobody is marking it up. Anything vaguer than that is a margin problem waiting to become an invoice argument.
Testing spend, for what it is worth, should always be the builder's cost. You should not be paying for someone to learn on your account.
What is a fair budget for a first AI project?
Enough to build one thing properly, and not a dollar more. The growth model we trust is small, then proven, then bigger, which is also how every good client relationship we have ever had started.
Pick the single process that costs you the most in money, hours or lost work. For most Australian service businesses that is the missed call, which is why never missing a lead is where we usually start. For firms that quote for a living, it is the estimating pile. For anyone drowning in paperwork, it is the admin.
Then attach numbers to it before you spend anything. How many enquiries do you miss after hours? What is your average job worth? How many hours a week go to chasing? If a machine cannot beat those numbers, no price is cheap. If it can, the price is a rounding error and you will know within thirty days.
How do you stop the price blowing out?
You stop it at the scoping stage, not the invoicing stage, by forcing four things into writing before anyone starts work.
What exactly is done, in one sentence a stranger would understand? Vague scope is where budgets go to die.
Which numbers must move, and who measures them? Our method names them before the build starts, and reports against them thirty days after go-live. Vague wins do not count.
Who owns the accounts? Everything should run in accounts you own. If your supplier disappeared tomorrow, the machine should keep working. That is a clause, not a vibe.
What happens if it does not work? There should be an answer that does not involve you paying more to find out.
Where to look next
Before you spend anything, it is worth reading the Australian Government's AI Ethics Principles and the Australian Privacy Principles, because both will shape what a sensible build looks like in your industry. business.gov.au is also worth a look for current grants and digital support programs.
Then get a number. A real one, in writing, before anything starts.
If you would like ours, tell us what the problem is costing you and we will tell you what it costs to fix, or tell you honestly that it is not worth fixing yet. You can also see two of the crew working on a staged business before you speak to anyone.