Accounting Firms Want AI Beyond Admin. Half Don't Trust It Yet.

Every Australian accounting firm uses AI now — or is about to. The question is no longer adoption. It is what you are pointing it at.

A survey of 434 Australian accounting professionals, published this month by the Access Group, shows the industry is ready to push AI from back-office admin into advisory, tax research, and client-facing work. But more than half say they need at least a year before they will trust it there.

The Access Group's State of AI in Accounting Report 2026, conducted by Agile Market Intelligence, surveyed accountants, bookkeepers, and other professionals across Australia. Nearly half are aiming for complete AI integration in their practice. Of the remainder, more than a third want to expand capabilities, a quarter are experimenting, and roughly one in ten have not started.

The priorities tell the story. 67 per cent see AI-driven transaction coding and reconciliations as the highest-impact area over the next two to three years. That is admin — and most firms already do it. The more telling numbers sit further down the list: 54 per cent expect AI to reshape tax research and ATO monitoring. 52 per cent see document extraction as a near-term priority. 51 per cent anticipate AI-generated reports and forecasts. And a third plan to deploy AI specifically for identifying advisory opportunities from client data.

That last figure — 33 per cent — is where competitive advantage shifts. An accounting firm that uses AI to flag a client's eligibility for an R&D tax incentive, or to spot a cash flow pattern suggesting a capital acquisition window, is not offering the same service as one that uses AI to reconcile bank feeds. Same technology. Different value.

Here is the catch. 51 per cent of firms say they need at least a year before trusting AI to handle client queries. Another 32 per cent believe AI-driven client interactions will take one to two years to materialise. Nearly a fifth think it will take longer than two years. That caution is not irrational — client-facing work demands accuracy, professional judgement, and liability management that admin tasks do not carry.

But a year is a long time in a market where clients already receive AI-powered insights from their banking apps and their Xero dashboards. Globally, the Karbon State of AI in Accounting 2026 report found that accounting professionals using AI save around 60 minutes per day — roughly 21 hours a month. The time freed up by admin automation is supposed to go somewhere. If it does not flow into higher-value advisory, it gets absorbed back into more admin.

We wrote recently about the gap between AI adoption and real value in Australian businesses — the data showed only 5 per cent get genuine returns from their AI tools. In accounting, the mechanism is the same. The tools work. They are pointed at the wrong layer of the business.

This is not about replacing the accountant. It is about surfacing insights that would take hours to find — if anyone found them at all.

Tax research is the clearest case. AI that monitors ATO rulings, legislative changes, and client data simultaneously can flag relevant changes in real time. Instead of a partner reviewing tax alerts manually each morning, the system surfaces only what applies to each client. The firm that responds to a ruling change within a day earns the referral.

Report generation is next. Monthly or quarterly client reports that currently take hours to compile — pulling data from multiple sources, formatting, adding commentary — can be drafted in minutes. The accountant reviews, adjusts, and adds professional judgement. Same output. A fraction of the input.

Then there is advisory opportunity identification: AI parsing transaction data to spot patterns — seasonal cash flow dips, margin compression in specific service lines, expense categories growing faster than revenue. These are insights partners have always provided to their best clients. AI means you provide them to every client, not just the ones you happen to scrutinise.

Most firms found AI through admin leverage. The next advantage is revenue capture — using the same technology to generate billable insights rather than reduce unbillable overhead.

The 33 per cent of firms already planning AI for advisory work are building an advantage that compounds. More insights surfaced per client. Better retention. Higher-value engagements.

The firms waiting a year to trust AI with client-facing work will find the market has moved. Start small: pick one advisory workflow — tax research monitoring, client report drafting, or cash flow pattern analysis — and run it alongside your manual process for a quarter. Build trust incrementally rather than waiting for certainty that will not arrive.

Key takeaways

Using AI for admin but not advisory?

A short conversation can help you identify which advisory workflows in your practice are ready for AI — and which tools would deliver the clearest client value. Book a call.