What AI workflow automation really costs in Australia

Pricing for AI work is opaque, and that opacity is doing a lot of work for a lot of vendors. Here is the cost landscape as we see it from inside the market, in Australian dollars, including the costs that never appear on proposals.

The three ways to buy

DIY with subscription tools looks cheapest: typically $20 to a few hundred dollars a month in licences. The real cost is your time to design, wire, test and maintain the workflows, and the failure mode is well known: the automation works until the first edge case or API change, then silently stops, and nobody notices for a month.

Custom builds from consultancies and dev shops in Australia commonly start around $10,000 and run well beyond $50,000 for agent-style projects. You get bespoke work, but small businesses often pay enterprise process overhead for what is, underneath, a follow-up workflow.

Managed AI operations, the model we run, prices the work in three steps: prove fit, prove value, then subscribe to the running of it. You are not buying software or hours; you are buying a workflow that demonstrably works, kept working.

Our ladder, in the open

We publish our pricing because asking for a quote to find out a price is itself a cost.

• AI Fit Check: $0. A short structured review that identifies the first workflow worth building. No card, no obligation.
• Proof of Value: normally $3,000 to $7,500, fixed scope, and free for the first 5 businesses. One workflow, built and measured against your real numbers in weeks.
• Managed AI Operator: from $1,500 per month. The ongoing layer that runs, monitors and improves your workflows, with monthly value reporting and every action approval-gated.

The hidden costs to ask any provider about

Whoever you buy from, these four line items exist. The only question is whether they are priced in or discovered later.

• Integration: connecting your actual systems, with their actual quirks, is usually more work than the AI part.
• Maintenance: APIs change, prompts drift, edge cases accumulate. An unmaintained workflow decays quietly.
• Quality checking: someone must verify the outputs are still good next quarter, not just at handover.
• Usage: AI usage costs money per run. Anyone selling unlimited usage is either capping you quietly or losing money loudly, and both end the same way.

How to judge payback

Keep the maths embarrassingly simple. Hours saved per week, multiplied by what those hours cost you or earn you. Leads responded to that previously went cold, multiplied by your close rate and average job value. Invoices paid faster, converted to cash-flow relief. If a proposed workflow cannot be framed in one of those three sums before it is built, it is not a first workflow. It might be a fine fifth one.

That is also why we structure the entry the way we do: the Fit Check is free precisely so the payback sum gets written down before any money moves.