Accounting
Financial records are the easiest thing to paste and the worst thing to lose.
Accounting work is dense, repetitive and highly structured — which makes it exactly the kind of work AI handles well, and exactly the kind of data you cannot afford to leak. A trial balance pasted into a chatbot to explain a variance carries the client’s entire financial position with it.
Request an assessmentYour obligation
Tax file numbers carry their own regime
TFNs sit under specific protections beyond the general Privacy Act obligations, with rules governing collection, use and disclosure. Beyond that, registered agents operate under a professional Code of Conduct that includes confidentiality duties, and firms handling client financial data are bound by the Australian Privacy Principles — including APP 8, which keeps you accountable for information disclosed to overseas recipients. A financial statement is not an anonymous document: it identifies a business, its owners and its position precisely.
Where it’s happening
The four places we see it most
None of these are careless people. They are competent staff doing the work faster, using a tool that is genuinely good at it.
Variance and reconciliation analysis
Ledgers and trial balances pasted in to explain a movement, exposing the complete financial picture of an identifiable client.
Drafting client advice
Specific circumstances included so the advice is relevant — turnover, structure, family arrangements, disputes.
Summarising legislation against a client position
The client’s facts supplied alongside the question, which is what makes the answer useful and the disclosure meaningful.
Cleaning up messy data exports
Raw exports pasted in for reformatting, frequently carrying TFNs, ABNs, addresses and bank details.
The alternative
Same capability, nothing leaves
A private system does not ask your team to give anything up. It does the same work on the same documents — it simply does it on a machine you own, sitting in your own office.
See how it works →- Analyse and explain financial data without transmitting it anywhere
- Draft client advice and correspondence from real circumstances
- Query your own internal technical library and prior advice
- Reformat and clean data exports safely, including files containing TFNs
- Give the whole practice AI capability under one predictable cost
Accounting & Advisory: common questions
- Our data is already in cloud accounting software. What is the difference?
- A fair question. The difference is contractual specificity and scope. Your accounting platform is a known vendor under a defined agreement, holding defined data for a defined purpose, usually with stated data residency. An employee pasting a trial balance into a general-purpose chatbot is an undefined disclosure to an unassessed party under whatever terms happen to apply that week. The first is a managed risk; the second is an unmanaged one.
- Is this worth it for a practice our size?
- Sometimes not, and we will say so. If two people use AI occasionally for non-client work, a policy and a paid business subscription may be entirely adequate. The economics change when a whole team would use it daily on client material, or when a single disclosure would be a notifiable breach. We would rather you reached the right answer than the one that suits us.
No obligation
Is this worth it for a firm like yours?
Tell us roughly how many people, what they handle, and what you suspect is already happening. We will give you a straight answer — including if the answer is that you do not need us.