How is AI used in accounting?

Accountants use AI to draft client emails, summarise long documents, explain results in plain English, flag unusual transactions and draft workpapers. A qualified person must review every result.

Will AI replace accountants?

Not the judgement, advice and sign-off. AI is taking over routine drafting and checking, so accountants who use it well will have more time for advisory work.

Is it safe to put client data into ChatGPT?

Not into a free or personal account. Use a business plan with data controls that your firm has approved, remove details you do not need, and follow your privacy and confidentiality obligations.

What is the best AI tool for accountants?

Start with what your firm already licenses, often Microsoft Copilot, ChatGPT or Claude. The training covers each and helps you choose by task, cost and data rules.

Do you train whole firms?

Yes. We run in-house workshops in Sydney and Melbourne and online, plus 1:1 coaching for partners and managers.

For accounting firms

AI for Accountants: Practical AI Training for Australian Firms

AI for accountants, or AI in accounting, means using tools such as ChatGPT, Claude and Microsoft Copilot to draft, summarise, check and analyse accounting work faster, with a qualified person reviewing every result.

Start Learning See the risks

Format: Team workshop or 1:1
Duration: Half-day to 6 sessions
Location: Sydney · Melbourne · Online
Price: Quote on request
For: Accountants and bookkeepers

Outcomes

What changes for your firm

01
Cut time on routine work
Letters, summaries and reviews done in minutes, then checked.
02
Protect client data
Clear rules on which tools to use and what never to paste.
03
Give advice, not admin
Free up hours for the client work that needs a person.

Included

Five ways AI is used in accounting today

Client emails and letters
Clear drafts from your notes, in your firm’s tone.
Summaries of long documents
Contracts, rulings and board packs cut to the key points.
Spotting odd transactions
AI flags outliers in exported ledgers for you to review.
Explaining numbers simply
Plain-English notes on results for clients who are not accountants.
Checklists and workpapers
First drafts of procedures and file notes, ready to edit.

How it works

How the programme adapts to your firm

1
Map your work
We look at your services, software and client data rules.
2
Train on real tasks
Hands-on sessions using your templates, not generic demos.
3
Set rules and check in
A one-page AI policy, then monthly check-ins as tools change.

Built by your coach

Cardilog

Taught by a developer who builds with AI

Your trainer builds AI-powered apps such as Cardilog, so you get practical answers about how these tools really handle your data.

See Cardilog

Pricing

Quotefor teams

Firm workshops are quoted on size and format. Individual 1:1 coaching starts from $1,500 AUD.

Start Learning

A short call to scope your needs
Training built on your real tasks
A one-page AI use policy
Prompt templates for your top tasks
Monthly check-ins

Risks

Five risks to manage

AI helps most when these are handled up front.

01Client confidentiality
Do not paste client files into public AI tools. Use approved business plans with data controls.
02Made-up answers
AI can invent tax rules, rates and rulings. Check every figure against the source.
03Professional standards
Your code of ethics and quality rules still apply. AI does not change who signs off.
04Where data is stored
Know if a tool keeps data offshore or uses it to train models.
05Over-reliance
Juniors still need to learn the work, not just check AI output.

FAQ

Common questions

Bring practical AI to your firm

Tell us about your team. We reply within 24 hours.

Start Learning

AI for Accountants: Practical AI Training for Australian Firms

Cut time on routine work

Protect client data

Give advice, not admin

Client emails and letters

Summaries of long documents

Spotting odd transactions

Explaining numbers simply

Checklists and workpapers

Map your work

Train on real tasks

Set rules and check in

Taught by a developer who builds with AI

01Client confidentiality

02Made-up answers

03Professional standards

04Where data is stored