AI for Financial Advisors in Australia: A Practical Playbook

Financial advice in Australia is a high-trust, high-scrutiny profession, and the question for principals in 2026 is no longer whether to use AI — it is where to use it and how to keep ASIC, AFCA, and your licensee comfortable. AI for financial advisors works best on the drafting, research, and admin layer that surrounds advice, not on the advice itself. This guide walks through the practical use cases, the tools that integrate well with Xplan, Iress, and AdviserLogic, and the compliance posture that lets you deploy quickly without breaching your AFSL conditions.

Where AI is actually paying back

The advisers getting real value are not chasing fully automated advice. They are compressing the admin tail that sits between a client meeting and a finalised SOA.

Statement of Advice and ROA drafting

AI drafts the narrative sections of an SOA — current situation, strategy rationale, product comparisons, risks, fees, and next steps — from your file notes and fact find. Tools like Sherlok and various Xplan add-ons now do this with templates that match your licensee's wording. The authorised representative still reviews every paragraph, edits the strategy logic, and signs. Done well, this cuts SOA drafting time by 50 to 70 per cent without changing the document's substance.

Client meeting notes and file notes

Recording the meeting (with consent) and using an AI notetaker to produce a structured file note is now the highest-ROI workflow in the industry. The note captures objectives, scope, advice given, alternatives considered, and any limitations — exactly what ASIC expects to see in a file review. The adviser reviews, corrects, and signs off before it lands in Xplan or AdviserLogic.

Client research and product comparison

AI is excellent at summarising PDS documents, comparing insurance product features, and pulling research from Morningstar or Lonsec into a structured table. Treat the output as a first draft for your research log, not as a recommendation engine. Your reasoning still has to be your own under the Best Interests Duty.

Compliance review and pre-vet

Some licensees now run AI checks across SOAs before they go to a senior reviewer — looking for missing scope, weak strategy rationale, or fee disclosure gaps. This is paraplanning quality control, not advice. It catches issues earlier and frees up compliance staff for genuinely complex files.

The FASEA, AFSL, and ASIC reality

Nothing in the FASEA Code of Ethics prohibits AI. The obligations that matter — competence, acting in the client's best interests, informed consent, confidentiality — all still apply, and they apply to you, not your tool.

Practically, that means:

• Client data should not go into consumer AI products. Use enterprise tools with data processing agreements, no-training clauses, and ideally Australian data residency.
• Anything AI drafts has to be reviewed by the authorised representative who signs. AI is not an authorised representative.
• Your licensee likely already has an AI policy. Read it before you deploy anything; some licensees require pre-approval for specific tools.
• File notes generated by AI need to be reviewed before they are saved. Inaccurate file notes are worse than no file notes.

Our broader take on what regulated firms should do is in AI for professional services firms, and the related discipline of mortgage broking is covered in AI for mortgage brokers.

A sensible tool stack for an Australian practice

Most practices do not need a bespoke platform. A tight stack covers most of the work.

• Meeting capture and file notes: A consented AI notetaker that integrates with Xplan, Iress, or AdviserLogic.
• SOA and ROA drafting: Sherlok or a licensee-approved drafting tool that uses your templates.
• Research summarisation: An enterprise LLM with documented data handling for PDS, FSG, and research notes.
• Workflow: Karbon or FYI Docs for task and document management, with AI used to draft client emails and follow-ups.
• Marketing and education: AI-assisted drafting for newsletters and client updates — reviewed by the adviser before sending.

A clear warning: do not let AI generate the strategy. Strategy is judgement. AI can help you stress-test it and write it up cleanly, but the call belongs to a human under your AFSL.

What to do next

Start with the highest-friction, lowest-risk workflows: meeting notes, SOA drafting, and client correspondence. Get those running cleanly with proper review, document your AI policy for your licensee, and then expand into research and pre-vet. If you want a structured rollout that respects your compliance posture, our services page outlines how we work with advice practices.