AI in Australian Financial Planning: What's Working, What's Not, and What's Next

Twelve months ago, less than half of Australian financial advice practices were using AI in any meaningful way. Today, that number has jumped to 74% — either actively using AI tools or with firm plans to adopt them. That's not a gradual shift. That's a profession-wide recognition that the old way of doing things is no longer sustainable.

The reasons aren't hard to find. Advisers are spending 40-60% of their week on compliance documentation, file notes, and administrative work that doesn't directly serve clients. Meanwhile, the advice gap keeps widening — millions of Australians who need financial advice can't access it because there aren't enough advisers, and the ones left are buried in paperwork.

AI won't fix all of that. But it's already making a serious dent in the parts that matter most.

Where AI Is Actually Being Used Right Now

The adoption data tells a clear story about priorities. Australian financial planning practices aren't starting with flashy client-facing tools. They're starting where the pain is worst: documentation.

• 86% of AI-using practices are applying it to file notes and meeting summaries
• 46% are using it for SOA (Statement of Advice) and ROA (Record of Advice) generation
• A growing number are using it for client communication drafting, research summaries, and compliance checking

This makes sense. An adviser who spends three hours writing file notes after a two-hour client meeting has their priorities inverted. The client meeting is where value is created. The file notes are a regulatory requirement. AI can flip that ratio.

The Tools Financial Planners Are Choosing

Three categories of AI tools have gained real traction in the Australian advice market:

Compliance documentation automation

Purpose-built tools that integrate with existing practice management systems to generate compliant documentation. Typically $100-200 per user per month — priced at a level where a single adviser only needs to save a few hours a month to justify the cost. Most report saving significantly more than that.

SOA and ROA generation

This is where the time savings get dramatic. AI-assisted SOA production is cutting generation time from 6-8 hours down to 2-3 hours. For a practice producing 10-15 SOAs a month, that's 40-75 hours reclaimed. Those hours go straight back into client meetings, prospecting, or — honestly — just having a life outside the office.

Meeting transcription and file notes

AI handles the meeting-to-documentation pipeline — transcribing client meetings, generating structured file notes, and flagging action items. Practices using these tools report up to 80% time savings on file note production. That's the difference between spending 90 minutes on notes after every meeting and spending 15.

The challenge isn't finding tools — it's knowing which combination fits your practice, integrates with your existing systems, and meets your licensee's compliance requirements. That's where an implementation partner adds value: assessing your workflow, recommending the right stack, and connecting everything properly.

The Xplan Question

Any conversation about AI in Australian financial planning has to address the elephant in the room: Xplan holds 52.4% market share among advice platforms. What Iress does with AI integration in Xplan will shape the industry's trajectory more than any standalone tool.

To their credit, Iress has been building AI features into Xplan — document generation, data extraction, workflow automation. But the pace of innovation from purpose-built AI tools is faster than what any legacy platform can match. The practices seeing the biggest efficiency gains are typically those running specialist AI tools alongside Xplan, not waiting for Xplan to do everything.

If your practice runs on Xplan (and statistically, there's a better than even chance it does), the practical question isn't "Xplan or AI" — it's "which AI capabilities integrate cleanly with your existing Xplan workflow without disrupting what already works?"

The Compliance Reality: What ASIC Is Actually Saying

Here's where it gets nuanced. ASIC's REP 798 made a pointed observation: licensees are adopting AI tools faster than they're updating their compliance frameworks to account for them.

That's not a ban. It's not even a warning. It's ASIC doing what ASIC does — flagging that obligations haven't changed just because the tools have. Your best interests duty, your appropriate advice requirements, your record-keeping obligations — all of those still sit with the adviser and the licensee, not with the software.

What this means in practice:

• AI-generated SOAs are drafts, not finished products. An adviser must review, verify, and take responsibility for every piece of advice before it reaches a client.
• Meeting transcription needs client consent. Most practices now include a standard disclosure at the start of meetings. This is straightforward but non-negotiable.
• Data governance matters. Where does the AI process your client data? Is it stored offshore? Does it feed into training models? These are questions your licensee will want answered.
• Audit trails are essential. If ASIC reviews a file, you need to demonstrate that a qualified adviser reviewed and approved the AI-generated content. The AI is the tool; the adviser is the author.

For practices operating under an AFSL — or as Corporate Authorised Representatives under a licensee — the key is working with your compliance team to build AI into your existing framework, not bolting it on as an afterthought.

The ROI Numbers

Adoption is one thing. Results are another. The data here is encouraging: 75% of firms that adopted AI recouped their investment within two years. Given that most of these tools cost between $100-300 per user per month, the payback period is often measured in months, not years.

Here's a rough calculation for a mid-size practice:

That last row is where it really matters. If AI frees up 10-15 hours per adviser per week, that's capacity for 30-50 additional client relationships — without hiring another adviser. At an average revenue of $3,000-5,000 per client per year, the maths speaks for itself.

The Untapped Layer: Client-Facing AI

Most of the AI adoption in financial planning so far has been back-office — documentation, compliance, internal workflows. But there's a significant gap on the client-facing side that's barely been touched.

Think about the client experience at most advice practices:

• A prospective client visits the website at 8pm. There's a phone number and a contact form. They fill in the form, maybe. Or they don't, and you never hear from them.
• An existing client calls during lunch. The phone rings out. They leave a voicemail. The admin gets to it tomorrow afternoon.
• A referral calls on Saturday morning, keen to book a first meeting. Nobody answers. By Monday, they've called someone else.

These are real revenue leaks that happen every week in practices across Australia. And there's a straightforward fix: AI-powered client intake.

A website chatbot that understands your services, answers common questions, and captures enquiry details 24/7. A voice AI receptionist that picks up the phone on the first ring — at 6am or 11pm — takes the caller's details, answers basic questions about your practice, and sends you a clean summary.

There's no published case study yet for AI receptionists in Australian financial planning specifically. That gap represents an opportunity for practices willing to move early. The technology exists and is proven in other professional services — the financial planning sector just hasn't adopted it at scale yet.

What "World-Class Service" Actually Looks Like With AI

Here's the real opportunity for forward-thinking practices. AI doesn't just make you more efficient — it can genuinely improve the client experience.

Consider what becomes possible when your advisers aren't spending half their week on admin:

• Faster turnaround on advice documents. SOAs delivered in days, not weeks. Clients feel prioritised, not forgotten.
• More frequent touchpoints. When admin drops from 25 hours to 10 hours a week, an adviser can afford to make those quarterly check-in calls that build loyalty.
• Instant responsiveness. Every call answered. Every website enquiry captured. No prospect falls through the cracks because someone was on lunch.
• Better-prepared meetings. AI can pre-summarise a client's portfolio changes, market movements relevant to their holdings, and upcoming milestones — so the adviser walks in ready.

This isn't about replacing the human relationship. It's about removing the friction that stops you from delivering on it.

Getting Started Without Overcommitting

If your practice hasn't adopted AI yet, the worst thing you can do is try to automate everything at once. The practices getting the best results have taken a layered approach:

1. Start with file notes. It's low risk, high reward, and immediately visible to every adviser. AI transcription tools will show value in the first week.
2. Add SOA automation once file notes are bedded down. Purpose-built SOA tools can slot in without disrupting existing Xplan workflows.
3. Layer in client-facing AI. A website chatbot or AI receptionist captures enquiries that are currently falling through the cracks — and it runs 24/7 from day one.
4. Review and expand. Once you've got data on what's working, you can make informed decisions about email triage, review automation, and deeper workflow integration.

Each layer builds on the last. And because most AI tools are month-to-month — no lock-in contracts — there's minimal risk in testing.