AI training for accountants

AI training for Australian accounting firms

We train accounting and bookkeeping staff to use AI on the work that eats the week — the chasing, the drafting, the explaining. Three months, built around your practice's real files, delivered by Claude Certified Associates. Your team finishes doing the same work in a fraction of the time.

Trusted by over 14,000 Australian businesses. Australian-owned since 2008, rated 4.8 from 229 Google reviews, and delivered by Claude Certified Associates.

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Where the week actually goes

  • Chasing clients for records that were requested three times already, in three separately written emails.
  • Re-explaining the same tax position to a different client, in plain English, from scratch.
  • Reading back through a year of correspondence before a meeting to remember what was agreed.
  • Turning a messy bank feed or a shoebox of receipts into something you can reconcile.
  • Writing variance commentary that says more than “up 12%”.
  • Capacity that vanishes from July, and again at every BAS deadline.
  • Junior staff spending their first two years on work that is mostly retyping.

What an accounting team uses AI for

These are the tasks practices bring us in the first fortnight, because they repeat, they are made of text, and they are worth hours a week per person. Every one is taught on your own files, not on a demo dataset.

Chasing records, without writing the email

Outstanding-items follow-ups drafted from your checklist, escalating in tone across the sequence, in your firm's voice rather than a template clients learn to ignore. Practices tell us this alone clears a morning a week in the lead-up to lodgement.

Plain-English client explanations

A Div 7A position, a trust distribution, why the refund is smaller this year — written for a client who doesn't read jargon, from your file notes, ready for you to check and send. The explanation your partner would have written, in the time it takes to read it.

Getting up to speed before a meeting

A year of correspondence and file notes reduced to what was agreed, what's outstanding, and what they asked last time. Ten minutes of reading instead of forty, and nobody walks in cold.

Management accounts commentary

Draft variance narrative straight from the numbers you've already produced — what moved, by how much, and the question you'd have asked anyway. Your judgement, already typed up.

Turning ATO guidance into client notes

A rate change or a new ruling converted into a short, client-ready update per entity type, so your clients hear it from you first instead of one generic newsletter nobody opens.

Cleaning up the inputs

Extracting and structuring data from invoices, statements and PDFs so reconciliation starts from something usable — with the verification step built into the workflow, because a misread digit is expensive here.

Bringing juniors up faster

The drafting your graduates learn on gets a first pass, so their time goes into checking, questioning and understanding the position rather than retyping it. The training compounds into how quickly your bench develops.

Where your practice is after three months

The program runs in three stages, and each one ends with something your team is doing differently on Monday. This is the sequence, not a syllabus.

  1. 1

    Everyone fluent on their own work

    By the end of month one, each person has three or four recurring tasks they now do with AI by default — their tasks, from their week, not exercises. This is the point where the time saving becomes visible on a timesheet.

  2. 2

    The repeating work, automated

    Month two turns those into reusable prompt packs the whole practice shares: the chase sequence, the client explainer, the commentary draft, the file summary. One person's good workflow becomes everybody's, which is where a practice pulls ahead of an individual who is good with ChatGPT.

  3. 3

    Agents handling a slice end to end

    By month three your team is building simple AI agents — an outstanding-records chaser that drafts, tracks and escalates on its own, or a workflow that turns a client's document dump into a structured, queried summary. No coding, and it is the part nobody expects to reach.

What people say after the program

★★★★★
Working with Ad On Group and Claude we were able to build a co work automation to assess our FB and Insta campaigns to see whats working and whats not. We can now cut underperforming social campaigns and focus on the ones working. The AI course plus the support we were able to build something that really makes a difference. Thanks Ad On Group and Claude!!
Georgia Harding
★★★★★
I did the AI course and it was spectacular 11/10, I couldn’t recommend it enough
Ava Brown
★★★★★
I’ve been working through the AI training course for a couple of months now and it’s been really helpful! My client is happy with the increased productivity and they enjoy reading through the monthly progress report they receive. Highly recommended!
Victoria

Rated 4.8 from 229 Google reviews.

Client data: the part most providers skip

You hold other people's financial information under a professional obligation, and most AI training simply doesn't address it. We build a substantial part of the program around it: which tools carry the contractual terms that make business use defensible, which consumer tiers train on what you paste into them, what has to be de-identified, and what should never leave your systems at all.

Your practice finishes with a written AI usage policy your team actually follows — drafted during the program, informed by how the tools behave rather than by guesswork. That matters more than it sounds: your staff are already using these tools. The choice is whether that happens inside a policy you wrote or outside one you didn't.

How the training works

Three months, 24 modules, around two hours a week, self-paced so it fits around accounting work rather than pulling anyone off the job for a day. It runs in three stages: getting fluent with the tools, automating the tasks that repeat, then building AI agents that handle a slice of a job end to end.

What we teach is tool-agnostic. Your team learns the thinking, then applies it in ChatGPT, Copilot, Gemini or Claude — so the skills survive whichever tool you standardise on next year.

What your team actually learns

For a practice, month one usually lands on the chase sequence and client explanations, and the agent people build first is almost always the outstanding-records chaser. 24 interactive modules over three months, around two hours a week — full of worked examples, videos and step-by-step instructions, and they keep growing as the tools do.

  1. Month 1 Foundations get fluent

    Advanced prompt engineering and context management. Claude Projects that hold everything about your business, so nobody re-explains it every time. Getting AI to work across your documents, images and screenshots. Building your first AI-powered workflow, end to end.

    • Advanced prompt engineering
    • Context management
    • Claude Projects for business context
    • Working with documents, images and screenshots
    • Building an AI-powered workflow end to end
  2. Month 2 Automating your tasks get your time back

    Teaching AI your job. Custom Claude skills built around how your team actually works, plus a meta skill that writes the next ones. Claude Cowork and Claude in Chrome browser automations across the tools you already use, scheduled to run without anyone starting them.

    • Custom Claude skills
    • Meta skills that build further skills
    • Claude Cowork automations
    • Claude in Chrome browser automation
    • Scheduling automations to run unattended
  3. Month 3 Agentic AI go autonomous

    Handing whole jobs over. Building autonomous AI agents that carry out complete processes on their own — deciding what to do next, working across your tools, running start to finish without anyone watching — then an orchestrator agent that directs them all as one system.

    • Building autonomous AI agents
    • Multi-step processes across business tools
    • Orchestrator agents directing other agents

Who teaches it

Delivered by Claude Certified Associates — not generalists who added an AI workshop last year. Ad On Group has been running as an Australian business since 2008.

The part that doesn't stop when the course does

Every program includes it. This is the difference between a team that had AI training once and a team that keeps getting better at it while the tools keep changing.

The Ad On Group AI learning platform

Your own learning platform

24 interactive modules, self-paced, yours for life. The modules keep growing as AI does, so what your team learned last year does not quietly go out of date.

Ad On Group specialists working with a client team

Two private sessions every month

An hour each, one to one with a Claude Certified Associate, spent on your team's actual work rather than a curriculum. This is where the difficult, specific problems get solved.

Ad On Group recording studio where masterclasses are produced

New masterclasses every week

Fresh sessions and podcasts on real business applications, released weekly — because the tools change monthly and a course recorded last year cannot keep up on its own.

The Ad On Group community discussion space

A community of teams doing the same thing

A closed space to ask, share and show what is working, alongside staff from other Australian businesses using AI daily. Most people find the peer answers as useful as ours.

What happens when you get in touch

Get in touch and we'll show you how AI fits your practice — the tasks worth starting with, what three months looks like for a team your size, and what it costs. Or take the AI audit first: six questions, about a minute.

See how we teach it, first

AI for accounting practices: the first three things to automate — 6 October 2026, 12:30pm AEST. Free, online, 45 minutes, open to anyone. The three tasks in a practice that pay back fastest, and the two that look tempting and aren't. Built for practices under twenty people.

Where we work

We're on the Gold Coast, we work across South East Queensland and Northern NSW, and we have an office in Adelaide. The program runs online and self-paced, so your team gets the same thing wherever they are.

South East Queensland's growth corridors — Ipswich and Logan in particular — have added small businesses faster than they have added accountants, which is where the capacity squeeze bites hardest. Brisbane and Gold Coast practices more often come to us about turnaround time than headcount.

Questions accounting teams ask

How is this different from a one-day AI workshop?

A workshop teaches awareness; three months changes behaviour. People leave a workshop enthusiastic and are back to their old habits within a fortnight, because nobody built a new habit on real work in one day. Our program runs across three months on your practice's own files, so by the end it is simply how your team works — and ongoing support keeps it current after that, which a workshop by definition cannot.

Will this work for staff who aren't technical?

That's exactly who it's built for. No coding, no setup, no prompt-engineering theory. If someone can write an email to a client, they can do this — the program starts from that assumption rather than treating it as a limitation.

What does it cost?

It's quoted per team size, and the three months is a fixed cost rather than an open-ended engagement — you know the total before you start. Tell us how many people you'd send and we'll give you the number on the call, along with the tasks we'd expect to compress first so you can judge it against the hours.

Does AI do the accounting itself?

It does the writing and reading around the work, which is most of the week. The judgement, the review and the sign-off stay with the accountant, which is what your professional obligations require and what we design the workflows around. That boundary is deliberate, and it's why the training holds up under a QA review.

We're a five-person practice. Is this only for big firms?

Small practices usually get more out of it, because there's nobody to delegate the drafting to. The program is priced and paced for SME teams, and it's the same three months whether you send two people or twenty.

When should we start, given tax season?

Before it. Practices that come through in autumn go into the crunch with the follow-up and drafting workflows already built, which is when the saving is worth the most. If you're reading this mid-season, the audit takes a minute and the conversation can wait until you surface.

Do we need to buy new software?

Not to start. Most practices already have a paid ChatGPT, Copilot or Claude seat somewhere in the business, and the training is tool-agnostic in any case — your team learns the thinking, then applies it in whatever your practice standardises on.

Worth reading first

We train other sectors too

Get your practice started

Take the audit and you'll know in a minute where your practice stands and which three tasks to start with. Or book the call and we'll walk you through what the first month would look like for a team your size.