// AI
The four AI uses that pay back in a NZ accounting practice this year, the three that waste a partner’s time, and the 90-day plan that keeps client data where the Privacy Act and your professional body expect it.
The short version
Accounting practices run on documents, deadlines and correspondence, which makes them one of the best fits for AI in New Zealand — and one of the easiest places to get it wrong, because client data is involved in every task. Here is what we see working in practices from four partners to forty.
| Use | What it does | What it needs |
|---|---|---|
| Client correspondence drafting | Copilot drafts replies to client emails from the thread and the file, in your tone, for a human to check and send | Microsoft 365 Business Standard/Premium + Copilot; permissions reviewed |
| Workpaper and meeting summaries | Summarises long email chains, Teams meetings and PDF bundles into the points that matter for the file | Teams transcription on; documents in SharePoint |
| Year-end query lists | Builds the list of missing items per client from last year’s file and this year’s ledger | Clean SharePoint structure per client |
| Bank rec and anomaly flags | Xero/MYOB native AI suggests matches and flags unusual transactions | Already in the software; just switch on and review |
Cost. Copilot licences for the three to six people who write most, on top of Microsoft 365 Business Standard or Premium; a one-off permissions and file clean-up; a couple of hours of training per person. For a six-partner practice that is a low five-figure annual commitment once the pilot has proved it.
Return. Practices we work with report two to four hours a week back per fee-earner on correspondence and summaries in the first quarter, and a noticeably shorter year-end query cycle. The return shows up as capacity — the same team handling more clients at busy season — rather than as a line on the P&L.
Risk if skipped. Staff use consumer tools anyway, with client data, and nobody knows.
Before any of this: a one-page AI policy saying which tools are approved, what may never be pasted into them (client identifiers, health, financial and legal detail unless the tool is inside your Microsoft tenant), and who owns it. We cover the page itself in a separate article, and Be AI aligns the work to ISO/IEC 42001 and the NIST AI RMF so the answer to “is this governed?” is yes.
Every use above runs inside DigitalShield, on the Microsoft 365 you already pay for, with the permissions and backups done first. If you want the pilot scoped for your practice, see the industry plan or talk to a Be AI consultant — the readiness check is free.
Not into a consumer tool. Client data belongs in tools that run inside your own Microsoft 365 tenant with enterprise terms u2014 Microsoft 365 Copilot or an approved assistant u2014 never in a free chat window. Your one-page AI policy should say exactly that.
It is replacing the parts of the junior role that were data entry and first-draft summaries, and making the review and advisory parts more valuable. Practices using it well are hiring the same number of people and doing more with them.
Use them u2014 bank reconciliation suggestions and anomaly flags are mature and sit inside tools with proper terms. The gap they do not fill is correspondence, workpaper summaries and advisory drafting, which is where Copilot earns its licence.
Keep client information inside tenant-bound tools, log what AI was used for on an engagement, keep a human sign-off on every output that goes to a client or IRD, and write it down as policy. That satisfies the practical expectations of all three.
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Read more →// Ready when you are
Tell us what your business runs on today. We will map what DigitalShield would cover, what it would cost per user, and what we would fix first — free, and in plain language.
