What Does an AI Consultant Cost in Australia?

There is no single number, and anyone who gives you one without asking about your business is guessing. What we can offer is the shape of the market as we observe it, with the caveat that these are indicative ranges rather than published prices, they move, and they vary by city and speciality. Independent consultants and small specialist firms commonly sit somewhere around $1,500 to $3,000 per day ex-GST. Mid-tier consultancies typically run higher, often $2,500 to $5,000 per day. Large global firms are a different market again — day rates in the multiple thousands and engagements that generally start in six figures because that is the size of problem their cost base is built for. Packaged diagnostic or assessment work commonly ranges from a few thousand dollars to $30,000-plus depending on scope. Our own AI Opportunity Audit sits at around $3,000, deliberately at the accessible end, because its job is to tell you whether a bigger engagement is justified at all. The initial consultation before it is free.

Six things, in rough order of impact. Scope breadth is the biggest — one workflow in one department is a fundamentally different engagement from an enterprise-wide strategy, and the second costs multiples of the first for reasons that have nothing to do with AI. Second, the state of your data: if it is clean and sitting in systems with real APIs, you skip the most expensive phase of most projects; if it lives in spreadsheets and someone’s head, that gap is the project. Third, system count — every integration is a discovery exercise, a permission negotiation and a testing burden. Fourth, regulatory context: healthcare, financial services and government carry explainability, records and assurance obligations that materially increase design effort, and rightly so. Fifth, seniority — who is actually doing your work, as opposed to who sold it. Sixth, and most under-appreciated: whether the engagement ends at a recommendation or ends with something running in production. Those are different products at different prices, and the gap between them is where most disappointment lives.

Because it is a different product for a different customer, and we would rather be honest about that than pretend otherwise. A large firm’s AI strategy engagement typically involves a team, months, extensive stakeholder work across a large organisation, and a cost base — offices, partners, bench, brand — that has to be covered. For a genuinely large enterprise with thousands of staff and dozens of business units, that can be entirely appropriate; the coordination problem alone justifies it. Our audit is scoped for a different animal: an Australian business of roughly 20 to a few hundred staff, where the whole operation can be understood properly in a matter of weeks by people who will also be the ones building the thing afterwards. It is a diagnosis rather than a transformation program. If you are a 40-person firm and someone quotes you six figures for an AI strategy, the question worth asking is not whether they are good — they may well be — but whether you are buying a product built for an organisation twenty times your size.

Business-to-business consulting in Australia is almost always quoted ex-GST, so add 10% to reach the invoice figure. If you are GST-registered you claim it back through your BAS, which makes it a cash flow matter rather than a true cost — but it should still be in the number you compare against. More importantly, the consultant’s fee is rarely the whole cost. Budget for four other things: software and model costs, which are usually modest but are ongoing forever; internal time, which is the one that is always underestimated — your people explaining processes, testing outputs, making decisions, and it is real cost even though nobody invoices for it; integration work in systems the consultant does not own, particularly where a vendor charges for API access; and ongoing running and maintenance once the thing is live, because AI systems are not appliances and model providers change behaviour underneath you. A quote that mentions none of this is describing a project that is not the project you are about to run.

Four tests, none of which require you to understand the technology. First: can they explain what you are buying in a sentence, and does it name a deliverable rather than an activity? "A written assessment of your workflows with a ranked shortlist" is a deliverable. "AI transformation partnership" is not. Second: is the fee proportionate to the decision it informs? Spending $50,000 to work out whether to spend $60,000 is not diligence, it is theatre. Third: who is doing the work? A proposal that features senior people who will never appear again after the pitch is a well-known and entirely legal pattern, and the correct response is to ask, in writing, who will be on the ground. Fourth: does the engagement end with a document or with something running? Both can be legitimate purchases, but they are worth very different amounts and the price should reflect which one you are getting. If a proposal cannot survive those four questions, price is not your problem — clarity is.

Possibly, and it is worth checking properly rather than taking a consultant’s word for it — including ours. Australian federal and state governments run various business support and digital adoption programs, and eligibility, funding and program names change frequently enough that anything specific we wrote here could be wrong by the time you read it. The reliable approach is to check business.gov.au for current programs, look at your state government’s business support pages, and if the work has a genuine research and development character, discuss the R&D Tax Incentive with your accountant — noting that routine software implementation typically does not qualify, whatever anyone tells you at a conference. Be wary of any consultant whose sales pitch leans on a grant covering the cost: the eligibility assessment is your accountant’s job, not your AI consultant’s, and a project that only makes sense with a grant probably does not make sense.