AI for Australian financial planners: what actually helps without breaking the rules

Financial planning is a heavily regulated profession, ASIC licensing, AFSL responsibilities, FOFA’s best-interests duty, the Privacy Act. AI helps where the work is mechanical (drafting, formatting, summarising), not where the work is regulated (giving advice).

Here’s what works without putting your licence at risk.

What AI is good at for planners

1. Fact-find synthesis

Client comes in with statements, tax returns, super fund letters, insurance policies, three different scanned wills. You used to hand this stack to a paraplanner for a day’s work building a single coherent picture.

AI does the synthesis in 20-30 minutes:

• Drops each document into Claude (paid API, not Claude.ai consumer)
• Extracts the structured data, assets, liabilities, income, super balances, insurance cover, dependants, beneficiaries
• Cross-references for inconsistencies (“the will lists 3 beneficiaries but the super beneficiary nomination only lists 2”)
• Outputs a structured client summary that goes into your CRM

You still verify everything. The hours saved are real.

2. ROA / SOA prep drafting

The Record of Advice or Statement of Advice still gets signed by you, vetted by your compliance officer, and bears your AFSL licence. But the first draft can be AI-assisted.

Prompt pattern:

You are helping draft an ROA for an Australian client. NOT GIVING ADVICE.
Drafting only, adviser reviews + signs.

Client context: {fact-find summary}
Recommendation made by adviser: {adviser's plain-English notes}
Compliance template: {your AFSL's ROA template}

Draft the ROA, populating:
- Client circumstances (from fact-find)
- Goals (from adviser's notes)
- Recommendation (verbatim from adviser's notes)
- Risks + alternatives considered
- Costs (use the placeholder ${COST}, adviser will fill)
- Why this is in the client's best interests (justification draft only)

Do NOT invent product names. Do NOT invent fees. Use placeholders where data is missing.

Time saved: 1-3 hours per ROA. Quality is comparable to a junior paraplanner’s first draft, with the same need for senior review.

3. Post-meeting notes

Client meeting runs an hour. Recorded (with consent) via your CRM or via a tool like Read.ai / Fireflies. Transcript goes to Claude with a prompt to produce structured meeting notes:

• Key decisions made
• Action items (with owners)
• Open questions
• Next steps + dates

Saves 20-40 minutes per meeting, every meeting.

4. Ongoing-service email cadences

For your retainer clients, you send periodic emails, market updates, regulatory changes, portfolio reviews, birthday wishes for review meetings. AI drafts these in your voice, you approve, you send (or schedule via your CRM).

Don’t auto-send. Even harmless emails benefit from your read because client relationships are why people pay you in the first place.

What AI is NOT good at (and what’s regulated)

• Giving financial product advice. AI cannot legally do this. Only an AFSL-licensed adviser can. AI drafts; you advise.
• Suitability assessments. The “is this product in the client’s best interests” judgment is the regulated bit. AI can structure the argument; you make the call.
• Compliance sign-off. Your compliance officer reviews; AI is not a substitute.
• Anything that gets emailed to a client without your sign-off. Even auto-acknowledgements. Especially auto-acknowledgements if the wording strays into advice territory.

Privacy + data handling

Australian Privacy Principles apply to all client data:

• Use paid API tiers (Anthropic Console, OpenAI API). Their data-retention contracts let you commercially use them with client-identifiable data.
• Don’t paste client data into free Claude.ai or free ChatGPT. Their consumer ToS retain inputs for training under some conditions.
• Strip identifiable data before AI processing where possible (rename “Jane Smith” → “Client A”, “$1.2m super” → “$Xm super”) and re-identify after.
• Document your AI use in your Privacy Policy and your AFSL’s procedures. Disclose to clients.

Tool stack we’ve seen work

Replaces ~$400-800 AUD/month of paraplanner overflow at a typical 1-2 adviser practice.

What to build first

Fact-find synthesis. Lowest regulatory risk (it’s data processing, not advice), biggest immediate time-back. Pick one upcoming new client, do the synthesis with Claude, compare to what your paraplanner would have produced manually.

If you’d like help wiring this up properly with the right privacy + audit safeguards, that’s exactly what our Quick Start covers, and we’ll route you to specialists for the AFSL-compliance-officer side if needed.