Choosing an AI implementation specialist for your accounting practice

Implementation expertise is not an accounting credential

An AI implementation specialist designs, connects and tests workflows. They may understand practice operations well, but that does not make them qualified to give accounting or tax advice, and they should not present themselves that way.

The reverse also applies. Accounting expertise does not mean someone can build reliable integrations. Look for evidence of the specific work you need, such as connecting practice management software, building review steps or setting up document workflows, and ask how they handled testing and handover.

Questions about data access and provider terms

These questions matter more in a practice than in most small businesses, because so much of the information is confidential.

• What access will you need to our systems, and can it be limited to what the work requires?
• Which third-party tools or AI providers will process client information, and where is it stored?
• Do any of those providers use inputs to train their models, and can that be switched off?
• How will access be removed when the project ends?
• What would you do if you noticed a privacy or security problem during the work?

The OAIC's guidance on commercially available AI products (opens in a new tab) suggests reviewing provider terms, including use of inputs for training, and considering who can access information entered into or generated by a product. If your practice is covered by the Privacy Act, the Australian Privacy Principles (opens in a new tab) apply to how personal information is collected, used, disclosed and secured.

Questions about review controls and integrations

Ask how the specialist will keep people in control and how the work will fit your existing software.

• Where are the human review points, and who in our practice will own them?
• What happens when the AI is uncertain or the workflow hits something unexpected?
• Which of our systems will this connect to, and through what supported method?
• What happens if one of those systems changes or an integration fails?
• How will staff be trained, and what written instructions will we receive?

Scope a small pilot first

A pilot limits risk and tells you quickly whether the specialist and the approach suit your practice. Choose one workflow, one team or a small group of clients, and a fixed period.

Agree in writing what the pilot includes, what success looks like and what happens at the end. business.gov.au recommends starting with AI in one or two areas (opens in a new tab) and testing accuracy before rolling it out further, and suggests making someone senior accountable for AI use.

Compare proposals on the same terms

Proposals are easier to compare when you ask every specialist the same questions. Prices vary with scope, so focus on whether each proposal is clear and complete rather than on a market rate.

Testing, training and handover

Ask to see the workflow tested with realistic but non-confidential data before it touches client files. Then run it on a small number of real jobs with close review.

Training should cover how to use the workflow, how to review outputs and what to do when something goes wrong. CPA Australia's INTHEBLACK also recommends an AI-use policy and staff training (opens in a new tab) so people recognise appropriate uses. At handover, confirm that all accounts and admin access sit with your practice.

Find a specialist for your practice

When you are ready, explore specialists for accounting and bookkeeping practices and request a free 15-minute consultation to discuss your pilot. Fifteen minutes is enough to explain the workflow and hear whether the person may be a fit; detailed scoping comes later in a written proposal.

You can also browse all specialists or read our broader guide to AI consulting in Australia. If client document collection is your starting point, the document collection workflow guide is a useful brief to share.