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What's possible with AI in finance

Evidence current to mid-2026.

In finance, AI is ready today for the repetitive, document-heavy work, like chasing invoices and coding expenses, always with your team on the numbers. Payroll and the real judgement calls stay with people. The tables below show exactly which is which.

Each task below sits in one of three bands: a strong fit today, worth a careful pilot, or keep with people for now.

A clear breakdown of where AI does and does not fit across the core tasks of a finance team. A practical starting point, not the last word.


Where AI is mature: strong fit today

Proven and available today. AI does the bulk of the work and your team reviews it.

FunctionThe job todayWith AI
Accounts receivable (AR) invoicing and dunningRaise invoices, work out who is overdue, draft and send chasers, escalate politelyAI drafts and schedules chasers per customer; you set policy and handle disputes
Expense capture and codingRead every receipt, code to account and cost centre, check policy and GSTAI captures, codes and auto-approves routine in-policy spend; your team checks GST edge cases and outliers
Management and board reportingPull the figures, build the pack, write commentary on what moved and whyAI assembles the pack and drafts commentary; you trace every number and own the narrative
Budget vs actual commentaryCompare actuals to budget, explain each variance in writingAI drafts the variance narrative from the table; your team checks the figures and adds the real drivers
Keeping your tools in syncMove data between your accounting, payments and spreadsheet tools, reconcile what each saysBuilt-in connectors between accounting and payments platforms (Xero, MYOB, Airwallex and the like) sync and pre-match automatically; your team spot-checks the exceptions

Where AI is emerging: consider piloting with a human gate

Promising but not yet proven at this scale. AI assists and your team stays in the loop, so trial it on a contained scope first.

FunctionThe job todayWith AI
Accounts payable (capture, code, route)Capture, code and route every supplier bill; check bank details before the payment runAI captures, codes and routes; your team keeps line items, new vendors, bank-detail changes and large payments
Bank reconciliation (beta)Match every bank line to the ledger; chase the exceptionsAI auto-matches the simple lines per account; you own transfers, part payments and every flagged line
Month-end closePost journals and accruals, reconcile, run the checklist, review the fluxAI handles reconciliation, recurring journals and checklist assembly; your team owns accruals and intercompany
Business Activity Statement (BAS) and GST preparationPull GST from the ledger each period, reconcile, prepare and lodge the BASAI categorises GST and drafts the BAS figures; you or your accountant checks and lodges
Audit preparationRespond to the Provided by Client (PBC) list, pull samples, assemble supporting docs and schedulesAI assembles the pack and schedules faster; your team signs off and keeps source evidence (auditor re-tests anyway)
Cash flow forecasting (short term)Project cash in and out, track runway, model scenariosAI builds runway scenarios out to ~4-6 weeks; you own grant and customer-timing judgement
Grant acquittal and fund tracking (bespoke)Track spend per grant and milestone, ring-fence funds, write acquittal reportsAI drafts narratives and builds the fund tracker; your team owns the contemporaneous evidence and the numbers

Where AI is not ready or suitable today: keep with people

These stay with people, either because the tooling is not reliable enough or because controls and compliance rule it out.

  • Payroll, super and STP. Stays in payroll software. Award interpretation, gross-to-net, superannuation and Single Touch Payroll (STP) are unforgiving, underpayment is now a criminal offence (up to 10 years’ prison for individuals), and from 1 July 2026 Payday Super requires super to be paid on each payday and received by the fund within seven business days. The Small Business Super Clearing House closed 30 June 2026; businesses that used it need a compliant alternative now.
  • AR late-payer prediction. No reliable model at a small team’s data scale, so the call stays with you.
  • Autonomous bill-to-payment. Capture and coding are fine, but you must approve and release every payment.
  • Accruals judgement. What to accrue, materiality and cut-off needs context the model lacks. AI can draft recurring accruals, not own the call.
  • Year-end tax and EOFY. The company tax return, end-of-year adjustments and STP finalisation are accountant territory. AI can help assemble the workpapers, not make the calls.

Worth weighing: for any of these, the upfront setup (mapping the chart of accounts, rules, templates) is a one-off, separate from the ongoing effort, which on the strong-fit items is mostly review. The time that comes back goes to the judgement work: advising on what matters in the numbers, the commercial calls the data supports, and the compliance conversations your bookkeeper or accountant can have instead of chasing paperwork.

This guide sits on top of the things that stay the same whatever your function. See the ground rules

Questions

The questions leaders ask.

Will AI replace my finance team?

No, it changes what they spend time on. The manual capture, coding and chasing shrinks, and their judgement, review and advice matter more. The compliance-critical work, payroll, the BAS sign-off and the year-end return, stays firmly with your bookkeeper or accountant. The goal is a finance function that does more with the same people, not fewer.

Is it safe to let AI near the numbers?

It is safe when your team stays in the loop, which is the whole point of the three bands above. Independent testing shows finance AI gets the routine work right and still makes confident mistakes on figures: the best finance AI agent scored around 60% on realistic multi-step analyst tasks in mid-2026 testing. The rule is simple: AI assembles and drafts, you trace every number back to source before it goes anywhere. Used that way it is a control, not a risk.

Where should we start?

Pick something narrow, repetitive and easy to check. Expense capture and coding is a common first step: it removes a real chore, it is built for Australian GST, and your team still reviews the edge cases. Board and management report drafting is the other strong one, because the time saving is large and the every-number-checked rule keeps you in control.

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Do we still need our bookkeeper or accountant?

Yes. Their work shifts from data entry to judgement and advice, and the compliance-critical calls, the BAS, payroll and the year-end return, stay with them. AI helps assemble the workpapers faster; it does not make the calls or lodge the return.

What can AI do in finance now that it could not six months ago?

Quite a bit, which is why this is dated. In early 2026 Airwallex shipped an agent that fills in and matches supplier bills, Xero's JAX assistant reached general availability, and tools became able to draft a workable financial model from a plain-language brief (the ICAEW noted this around February 2026). A year ago those were demos or roadmap; today they are usable, with your team still checking the output.

How current is this, and what if the tools have moved on?

The evidence is current to mid-2026 and we refresh it as the tools and the rules change, which in finance they do often. Where a number comes from an independent source we lead with it; where it comes from a vendor we treat it as marketing. If something has shifted since you read this, the fastest way to get the current picture for your own stack is a quick chat.

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