AI for Businesses That Can't Afford to Gamble With Client Trust
Althorn installs private AI that runs entirely on hardware inside your office, not a cloud subscription, not an overseas server. It's built for practices where client confidentiality isn't a policy line, it's the entire product: accounting and tax practices, law firms, financial advisers, medical and allied health practices, and any other business that holds identifiable client information.
A client hands over something private (a trust deed, a case file, a portfolio) because they believe it goes no further than the person they gave it to. AI is genuinely useful here. It's also the fastest way to quietly break that promise, one pasted document at a time.
Althorn exists so you don't have to choose between the two. Your team gets AI-assisted drafting, summarising, and review, and nothing leaves your network to get it.
Choose your industry
Law Firms
QLS Guidance Statement No. 37 puts solicitors personally on the hook for how AI is used in their firm, and a US court has already ruled that running privileged documents through AI can waive that privilege. See what's at stake and how firms are protecting it.
Read more → TPB(GS) 55/2026Accounting & Tax Practices
The TPB's July 2026 guidance means entering client data into AI can itself count as a disclosure. See what that means for your practice and how to close the gap.
Read more → AFSL obligationsFinancial Advisers
74% of Australian advice practices already use AI, but governance hasn't kept pace. See where the exposure sits and how to close it before ASIC or a client asks.
Read more → AHPRA AI GuidanceMedical Practices
AHPRA says informed consent will generally be needed for AI scribes, and the TGA has moved to compliance action on them. See what that means for your practice and how to keep every consult on your own equipment.
Read more → Privacy Act 1988Anyone Handling Sensitive Data
Not a law firm, an accounting practice, or an advice practice, but still holding client names, ID documents, financials, or personal histories? See why the same problem applies to you.
Read more →Why on-premise, not just "an AI tool you trust"
Most AI tools on the market, including good, Australian-hosted ones, still mean a client's information travelling to someone else's servers, held under someone else's terms, backed up by someone else's process. That can be a perfectly reasonable choice for low-sensitivity work. It's a harder one to defend for a trust deed, a privileged file, or a client's full financial picture.
On-premise removes the question entirely. The honest answer to "where does this go" becomes "nowhere, it stays on our own equipment, here." That's not a stronger version of a cloud vendor's privacy policy, it's a different answer altogether.
Not sure where your practice fits?
If your business runs on a client believing you'll keep their business private, this is built for you, whatever the letterhead says. Book a 20-minute confidentiality audit and we'll walk through exactly where your current AI use (including anything already switched on inside your existing software) creates exposure, and what running it on-premise would actually look like for your team.
Book a 20-Minute Audit