AI for accounting firmsLess chasing.
Clearer client work.

AI for accountants is most useful in the work around the file: requesting documents, chasing what is still missing, sorting a shared inbox and getting each job ready for review. The ledger and the tax software already do the calculating. SynergAI connects the practice management, document and email tools you already run, and uses AI only where it improves a step. Each of the six examples below is something to scope around your own practice, not a packaged product.

Several of these need no AI at all. A rule, a status field and a connection between two tools can run reminders and keep records in step. AI is added only where a step has to read something unstructured or prepare a draft.

The workflow prepares the file. Interpretation, advice, approval and lodgement stay with your practitioners, and the build makes that boundary visible in the work.

The workflow can:

• Request the information a job needs and track what has arrived.
• Sort incoming messages to the right client, job and person.
• Check a file for completeness against the job checklist.
• Flag what is missing or inconsistent, with the source attached.
• Draft a message or a covering note for someone to review.
• Record what it did, step by step.

Your practitioners decide:

• Tax positions and advice.
• Any figure that reaches a client or the ATO.
• Whether a new client’s identity and authority are verified.
• Sign-off and lodgement.
• Anything that changes a client’s position with the ATO or ASIC.
• Whether a draft is sent at all.

AI in accounting carries the same weakness as AI anywhere else. Output can read as confident and still be wrong: a misread date, a document matched to the wrong client, a draft that sounds right and is not. That is why AI here only sorts, flags and drafts, why an uncertain match goes to a person, and why AI-drafted text is marked on the file, so it is not mistaken for reviewed work.

In the workflows we build, AI does not supply a figure. The numbers a client or the ATO sees come from the ledger and the tax software, including any transaction coding the ledger’s own AI has done and the practice has reviewed, and the reviewer checks each one against its source before sign-off. Anything that needs judgement waits for a named person, and every exception has a visible owner.

Confidentiality is the first question a practice should ask before using AI, and it is answered in the design, before anything is built. We start by mapping what each workflow reads, where it sends it and who can see the result, and we write that map down so it can be explained to a client, a partner or a reviewer. Then the build follows a few working rules.

• An AI step receives only the fields it needs for its task. Tax file numbers, identity documents and bank details stay out of AI steps. Any exception is a decision the firm makes against its own obligations, and it is recorded before the workflow runs.
• Workflows run on business accounts and business-grade AI services that the practice controls, never through a personal account held by a staff member. The provider’s data-use, storage and retention terms are reviewed with the firm before any client information goes in: under the TPB guidance below, how a tool is set up and used bears on whether that is a disclosure.
• Where the tool supports it, a workflow runs under its own limited role and sees no more of the client list than the staff member it works for would. Where it does not, the data map records exactly which client records the connection can reach, and the firm approves that before anything runs.
• Each use of client information is recorded: what was read, drafted or sent, by which step, and who approved it, so the firm can answer a client who asks where their information went.

These rules sit under obligations the firm already carries. Accountants who belong to a professional body have confidentiality duties under its code of ethics; for members of CA ANZ, CPA Australia and the IPA, that is APES 110, the Code of Ethics for Professional Accountants. Registered tax and BAS agents also carry them under the Code of Professional Conduct in the Tax Agent Services Act 2009, which the Tax Practitioners Board (TPB) administers, and the Privacy Act may also apply to the practice.

In July 2026 the TPB published guidance statement TPB(GS) 55/2026 on AI use and the Code. It says that putting client information into some AI tools can be a disclosure to a third party, which needs the client’s permission, depending on how the tool is set up and used. An engagement letter is one place that permission can be given. Where the Privacy Act also covers the practice, the Office of the Australian Information Commissioner (OAIC) has guidance on privacy and commercially available AI products. It approaches the same question from the privacy side: which client details go into which tool, on what terms, and what clients have been told. It belongs next to the TPB statement when the firm settles its own AI policy.

The firm decides its engagement letter wording and what it asks clients to agree to. SynergAI designs the workflow to the rules the firm sets and documents the data flows so they are easy to explain.

This is general information, not legal or professional advice.

AI reaches a practice in two ways: as features inside its accounting and practice management software, and as general assistants on business plans, including the ones built into email and office suites. We do not rank or sell tools. We begin with the tools the practice already uses.

A practice usually runs five kinds of tool, and a workflow may need to connect several of them, for example:

• Accounting software, such as Xero, MYOB or QuickBooks.
• Practice management software, such as Xero Practice Manager, Karbon or FYI.
• Document portals and file storage.
• Email and calendars, in Microsoft 365 or Google Workspace.
• E-signature and form tools.

These are named only as examples of what a practice might use, not as integrations we have built or products we resell or represent.

Check native features first. Accounting and practice management platforms are adding their own automation and AI, including for bookkeeping tasks such as bank reconciliation and transaction coding, which the practice still reviews. Where a built-in feature covers the need, configuring it is the right answer. We connect or build only for the gap: the status that lives in one tool and is needed in another, the reminder that has to read two systems before it sends, the message that needs reading before it can be filed.

A workflow can look something up, propose a change or make one, and each is a different level of trust. Checking a job’s status in practice management needs little authority. Proposing a reminder or a draft needs a reviewer. Writing anything to the ledger needs a named approver. Each level is set separately in the scope, and connections depend on your account access, licensing, data and available integration options.