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How much does AI bookkeeping cost? An honest answer

Anyone quoting you a single price without seeing your ledger is guessing. Here is what actually moves the number — and what each of the three pricing models really includes.

The short answer

There is no single price for AI bookkeeping, and you should be wary of anyone who offers one before seeing your ledger. The cost depends on transaction volume, how messy the books are, how many entities you run, how often the work happens and how deep the review layer goes. It is bought three ways — software subscriptions, hourly bookkeeping and fixed-fee services — and each includes something different. The honest comparison point is not the fee; it is what unreviewed errors end up costing.

THE HONEST ANSWER

Why there is no single price

The uncomfortable truth about this question is that a specific dollar figure, offered before anyone has looked at your books, is a guess. Two businesses with identical revenue can have wildly different bookkeeping costs: one runs a single entity with a clean bank feed and the same repeating transactions every month; the other runs three entities, a payments platform that batches deposits, staff expense claims and a shoebox of supplier invoices. AI processes both — but the human review each one needs, and therefore the price, is not remotely the same.

What you are actually buying with AI bookkeeping is a combination of two things: software capability, which is now cheap and largely commoditised, and human review, which is where accuracy, GST judgement and accountability live. The software share of the cost keeps falling. The review share is the real product, and it is priced on how much of your activity is genuinely routine versus how much needs a person to stop and think.

That is why the same business can be quoted differently depending on cadence and depth. Books kept current every week, with exceptions resolved as they arise, cost differently from a quarterly catch-up — and since payday super arrived on 1 July 2026, with super due within 7 business days of each payday, running weeks behind is no longer a viable way to save money anyway.

So instead of a number, this page gives you the cost architecture: the five things that move the price, the three models it is sold under and what each one actually includes, and the comparison point most quotes leave out — the cost of getting it wrong. With those three pieces you can evaluate any quote you receive, including ours.

COST DRIVERS

What moves the number up or down

Every honest AI bookkeeping quote is built from the same five inputs. If a provider cannot tell you which of these they priced, they priced none of them.

Transaction volume

The baseline driver. More bank lines, invoices and receipts mean more processing and — more importantly — more exceptions for a person to resolve. AI flattens this curve substantially, because the routine majority scales almost for free; it does not flatten it to zero, because exceptions grow with volume too.

The state of the books

Clean, current books cost less to keep than messy ones cost to fix. A backlog of uncoded transactions, unreconciled accounts or historical misclassifications means remediation work before steady-state pricing applies. It is the single most common reason two similar businesses get different quotes.

Number of entities

Each entity brings its own bank feeds, its own GST position and its own reconciliations — plus inter-entity transactions, which are judgement-heavy and cannot be left to software. A trading company, a holding company and a family trust are three ledgers, not one ledger with extra lines.

Cadence

Weekly or continuous bookkeeping costs differently from a monthly or quarterly catch-up, and the gap is narrower than most owners expect — AI does the routine work continuously either way. What cadence really buys is currency: books accurate enough, soon enough, to run payroll, BAS and payday-super deadlines without a scramble.

Review depth

The quiet variable that separates quotes. Does a person review every exception, or only what the software flags? Is GST treatment checked on unusual transactions? Is there a registered agent behind BAS-related work? Deeper review costs more per month and dramatically less per error. Cheap quotes are usually thin here.

What sits around the bookkeeping

Bookkeeping priced in isolation ignores its neighbours. If the same ledger also feeds BAS preparation, payroll and management reporting, the marginal cost of each drops because nothing is re-keyed. If every function has its own provider, you pay each of them to reconcile against the others.

PRICING MODELS

Three models, three different purchases

AI bookkeeping is sold under three pricing models. They are not three prices for the same thing — each one includes a different amount of the work.

Software subscription

The AI features in mainstream accounting platforms — transaction-coding suggestions, receipt extraction, reconciliation matching — come bundled into monthly subscription tiers that scale with transaction volume. Cheapest in cash, but be clear about what it includes: suggestions. You are the review layer, the exception handler and the person accountable for every GST call. It suits very small, simple businesses with a detail-oriented owner.

Hourly bookkeeping

You pay a bookkeeper for time, and AI has quietly changed what that time buys: the routine hours of data entry are compressing, so the same budget increasingly purchases review, exceptions and judgement rather than typing. The trade-off is that your cost still moves with volume and messiness month to month, and the scope of review depends on the hours you fund.

Fixed-fee service

AI-assisted bookkeeping delivered as an outcome for a set monthly amount — processing, review, exceptions and accountability included — with BAS-related work sitting with a TPB-registered practitioner where it is in scope. As published on our pricing page, and indicative rather than a quote: a separate bookkeeping provider typically runs $500–800 a month, while a DIY part-time hire runs $25–40k a year. What you are buying is a current, reviewed ledger and a person who stands behind it.

THE OTHER COLUMN

The comparison point nobody quotes: errors

Every AI bookkeeping quote should be compared against a column that never appears on the quote: the cost of the errors the cheap option lets through. AI presents wrong classifications with exactly the same confidence as right ones — the Tax Practitioners Board's guidance on AI, TPB(GS) 55/2026, notes plainly that AI models may hallucinate or produce inaccurate information. Without a review layer, those errors do not announce themselves. They compound quietly until BAS time, and then they cost real money to find and fix: amendment work, catch-up projects and an accountant's hours spent untangling a ledger instead of advising on it.

The record-keeping obligations make this concrete. The ATO requires most business records to be kept for 5 years, and they need to be complete, retrievable and explainable regardless of what technology produced them. A ledger full of unreviewed AI classifications is a ledger you may one day have to explain, line by line, without being able to say who checked anything.

Timing errors now carry their own price tag. With payday super live from 1 July 2026 — superannuation guarantee at 12%, due within 7 business days of each payday — books that run weeks behind are not a tidiness problem, they are a compliance problem. The cheapest bookkeeping model is only cheap if it keeps you inside those windows.

And then there is the line item owners consistently forget to price: their own time. If you are the review layer, the reconciler of provider versions and the ferry for context between a software subscription, a bookkeeper and an accountant who do not talk to each other, that coordination is a real cost — it just never appears on an invoice. For many owners it is the largest number in the whole comparison.

THE VALONT MODEL

How pricing works inside a connected back office

This is how we get from the cost architecture above to an actual number — and why it stays predictable once it is set.

01

The number is built from your ledger, not a rate card

Before quoting, we look at the real inputs: bank feeds, transaction volume, entity structure, backlog and how much of your activity is genuinely routine. That is the only way a fixed fee can be honest — anything else is a guess with a margin built in to cover the guessing.

02

AI carries the volume so the fee buys review

Routine coding, receipt extraction and reconciliation matching run continuously without human touch. What your monthly fee actually purchases is the layer that matters: people reviewing exceptions, checking GST treatments and keeping the ledger explainable.

03

One fee replaces several

Because the same live ledger feeds BAS preparation, payroll and reporting, you are not paying separate providers to re-key and reconcile against each other. The coordination cost — the one that never appears on invoices — is the first thing a connected back office removes.

04

The price moves when your business does, not month to month

A fixed fee is revisited when the business changes shape — a new entity, an acquisition, a step-change in volume — not because a busy month generated more transactions. You can budget for it, which is half the point of fixing it.

FAQ

Frequently asked questions

Can't find the answer you're looking for? Get in touch

Get a number built on your ledger, not a rate card

The fastest way to an honest price is 30 minutes with your actual setup. We will look at your volume, entities and backlog, tell you which of the three models fits, and give you a real figure — including the honest answer if that figure is 'keep doing it yourself'. No obligation, and you keep the findings either way.