Home › For › Wealth management
AI for wealth management and financial advisory firms.
Australian-Privacy-Act-compliant AI for client onboarding, statement-of-advice drafting, and meeting summarisation. We build inside your stack, on your data.
Book a 30-min call → Or take the AI readiness assessment →
What does AI implementation look like for a wealth management firm?
Three workflows where AI earns its keep: client onboarding (fact-find and risk profiling), statement-of-advice drafting from your house templates, and meeting summarisation that produces a review-ready file note. Built inside Xplan, AdviserLogic, Iress, or Microsoft 365 — not in some consumer AI tool we host.
The base rate, in numbers
According to the FSC State of the Industry Report 2025. Most pilots stall at ChatGPT-in-a-tab; few make it into the SoA workflow.
Vanguard 2025 Adviser Productivity Index: top-decile AI users reclaim a full advice-day per adviser each week. That is one extra client meeting, every week, per head.
Per Adviser Ratings Musical Chairs 2026. The hours we give back compound directly into capacity for new clients.
AI consultant vs in-house AI hire vs doing nothing
The three real options for a wealth firm. We are direct because the comparison matters.
How a wealth-management engagement runs
Privacy Act 1988 obligations mapped. APP 11 sensitivity classification. Consent script drafted. Engagement-letter updates prepared for your AFSL.
Onboarding assistant connected to your CRM. SoA template drafter trained on your last 30 SoAs. Meeting recorder + file-note generator deployed.
Every adviser and paraplanner trained, with live SoA walkthroughs. Compliance team gets a separate review of the data flow.
Monthly tune-up. Template library refreshed quarterly. New legislative requirements wired into the prompts as they land.
What an engagement looks like
Hypothetical — pattern based on real Australian SMB and legal deployments. (We treat adviser firm work as confidential by default.)
Fact-find captured by a structured Claude project inside the adviser's M365 tenant. Risk profile draft populated automatically. Adviser approves before it lands in Xplan.
Trained on the last 30 signed SoAs. Generates structured sections (scope, current position, recommendations skeleton, fees, risks). Paraplanner edits and adviser signs.
Consent-gated recording in Teams or Otter. Output: a review-ready file note in the firm's template, dropped into the client's record automatically.
Equivalent to one extra new-client meeting per adviser, per week. 6 advisers × ~$1,500 per advice meeting ≈ $9K weekly capacity unlocked.
Shadow ChatGPT use eliminated. AFSL-side audit trail in place from day one.
Common questions from principals and compliance leads
What does AI implementation look like for a wealth management firm?
Three workflows where AI earns its keep: client onboarding, statement-of-advice drafting, and meeting summarisation that produces a review-ready file note. Built inside Xplan, AdviserLogic, Iress, or Microsoft 365 — never in a consumer AI tool we host on the side.
Is this compliant with the Australian Privacy Act and FASEA?
Yes. AU-region infrastructure (Acronis, Microsoft Australia, AWS Sydney). Private models where APP 11 sensitivity requires it. Every output flows through human-in-the-loop review by an authorised representative before it reaches a client. We document the data-flow for AFCA and ASIC reporting up-front. See how we handle compliance →
Will AI write the advice itself?
No. AI drafts the structured sections of an SoA — fact-find summary, scope, comparison tables, risk disclosures — using your house templates and previous SoAs as the corpus. The adviser writes the actual recommendation and signs off. The goal is 6–10 more advice hours per adviser per week, not replacing professional judgement.
What about consent and disclosure when AI is in the room?
We build a standard consent script into your meeting workflow and update your engagement letter so clients are notified before any AI tool processes their data. Recording, transcription, and AI summarisation only happen after explicit verbal consent. Consent is logged in your CRM against the client record.
Do you work with smaller advisory firms or only large licensees?
Both. Our smallest wealth client is a two-adviser practice; our largest works with multi-state licensees. The 4-week Automation Accelerator suits firms with 2–15 advisers. Larger licensees usually run the full Horizon Method across multiple practices.
Adjacent reading
AI Readiness Assessment
10 questions, 3 minutes, instant results. Most practice principals do this before our first call.
Take the assessment →State of AI Readiness: Australian SMB 2026
First-party survey of 54 Australian SMBs. The same patterns hold for advice firms.
Download the report →AI for law firms
Same compliance posture, different vertical. Privilege-aware AI for Australian legal practices.
AI for legal →Back to the homepage
See every vertical we work with — VCs and PE, talent agencies, healthcare and more.
Who we work with →