Try googling this question and you'll notice something odd: almost nobody in the industry publishes numbers. Endless articles about the transformative power of AI, total silence on what any of it costs. There's a reason — "it depends" is genuinely true — but hiding behind it isn't helpful when you're trying to budget. So here's our attempt at an honest answer, with the caveats stated plainly instead of used as an excuse.
Quick disclosure so you can calibrate: we're Mintodes, we build AI automation for Australian businesses, and everything below reflects how we and comparable agencies actually price work in 2026. Read it as a map of the market, from someone standing inside it.
The three price bands that cover most projects
Band one — a single automated workflow. One process, end to end. Invoice capture flowing into Xero. Enquiry triage routing to the right person. A document extraction pipeline for one document type. These are entry-level engagements: think low five figures in AUD, delivered in two to four weeks. This is where almost everyone should start, whatever a vendor tells you.
Band two — multi-step, AI-driven workflows. Now the automation makes decisions along the way. A customer intake that reads documents, validates them, updates the CRM and triggers follow-ups. A support flow pairing a chatbot with backend actions. Mid five figures, five to nine weeks. Most of the projects we deliver live here.
Band three — operational programs. Automation across several departments, custom AI agents, integration with systems that predate the iPhone. These run higher and roll out in phases — and if they're structured well, each phase's savings help fund the next one, which matters more than the headline figure.
What should make you suspicious: anything dramatically cheaper than band one claiming the same outcome. There's a floor below which "automation" means a fragile Zapier chain held together with hope. It'll demo beautifully and die the first time real-world data looks unusual.
What actually moves the price
Four things, mostly, and knowing them lets you read any quote intelligently:
- How messy your inputs are. Structured data from a modern system is cheap to automate. Scanned handwritten forms, forwarded email chains, PDFs photographed at an angle — that's where engineering hours go. Messiness is the single biggest cost driver, and it's also where the most value hides, because messy processes are the ones eating your staff's time.
- How many systems must talk. One system, simple. Modern APIs, manageable. A legacy platform with no API that "cannot be replaced" — doable (we do it a lot), but it's real work. See our thoughts on legacy system automation.
- The cost of being wrong. A misfiled internal note is annoying. A wrong invoice or compliance report is expensive. Higher stakes mean validation layers, human checkpoints and audit trails — worth every dollar, but they're dollars.
- Volume. Counterintuitively, high volume often improves the economics rather than the price: the build cost is similar, but the payback accelerates because every automated item saves money.
The number that matters more than the price
Payback period. A $20k automation that saves $8k a month is cheap. A $5k automation that saves $200 a month is expensive. Same maths your accountant would apply to any equipment purchase — automation just tends to score better than most equipment.
Run your own numbers on the back of an envelope: hours per week spent on the process, times the loaded hourly cost of whoever does it, times 48 weeks. An admin task consuming 15 hours a week at $45/hour loaded is roughly $32,000 a year — before counting errors, delays and the better work those hours could've gone toward. Against a band-one or band-two build, most genuinely repetitive processes pay back inside three to six months. That's the pattern across our client base, and it's the test we apply before recommending any build: if the payback maths doesn't clear, we say so. There are also a couple of calculators in our free tools if envelopes aren't your thing.
The costs people forget to count
Both directions, to be fair about it.
On the automation side: running costs exist. Model usage, hosting, the occasional update when your process changes. For typical SME automations this lands in the tens-to-low-hundreds of dollars a month — noticeable, rarely decisive. Budget for it anyway; a vendor who pretends running costs are zero is hiding something.
On the manual side, the ledger is longer than a salary: rework from errors, the working-capital cost of slow invoicing, staff turnover on mind-numbing roles (recruiting in Australia is not cheap), and the ceiling on growth when every extra client means proportionally more admin. None of these appear in a payroll report. All of them are real.
Red flags when you're comparing quotes
- No discovery phase. Anyone quoting a firm price without mapping your process first is guessing — and you'll pay for the guess later, in variations.
- Hourly billing with no cap on a defined outcome. Fixed scope in AUD is the honest structure for this kind of work; open-ended hours shift all the risk onto you.
- Nobody mentions error handling, monitoring or handover until you ask. That's the difference between a system and a demo.
- Vague answers on data handling. Where does your data go, which providers process it, does it leave Australia? Under the Privacy Act 1988 these are your obligations — a builder who shrugs at them is a liability. (Our answers, for the record, are on every service page and our Australia page.)
- Everything pitched at once. A partner who wants to automate your whole company in month one is optimising for their invoice, not your outcome. Start with one process. Expand on evidence.
Common questions
Is it cheaper to use no-code tools ourselves?
For simple, low-stakes flows — genuinely, yes, and we'd encourage it. Tools like n8n and Make are excellent (we build on n8n daily). The line is crossed when the process involves messy documents, judgement calls, several systems, or consequences for errors. That's when DIY builds quietly become someone's unofficial second job, and the total cost stops being lower.
Why do quotes for "the same thing" vary so much between agencies?
Usually because they're not the same thing. One quote covers the happy path; another covers exceptions, monitoring, documentation and handover. Ask each vendor what happens when a malformed input arrives at 2am — the answers will separate the quotes for you quickly.
Does city matter — is automation dearer in Sydney than elsewhere?
For remote-first builds like ours, no: the same fixed AUD pricing applies whether you're in Sydney, Melbourne, Brisbane or Perth. What changes by city is mostly which processes are worth automating first — a topic we've covered on each of those pages.
What's a sensible first budget?
Whatever a band-one project costs against a process that's clearly bleeding hours. Prove payback on one workflow before spending another dollar. If a vendor resists that framing, find another vendor.
Where to start
Not with a budget, actually — with a measurement. Find the process where the most hours leak, put a dollar figure on it using the envelope maths above, and compare that against band one. For most established Australian businesses the comparison isn't close, which is why this market is growing the way it is.
If you'd like the measurement done properly, our free thirty-minute automation audit does exactly that: we map your operation, name the highest-payback process, and quote that one piece, fixed, in AUD. Book it here — worst case, you leave with a clearer picture of your own operation than you had half an hour earlier.
Written by the Mintodes engineering team. We build AI agents and automated workflows for Australian businesses, priced in AUD and delivered on fixed scope.