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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.

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Privacy Act 1988 mapped AU-region data residency Human-in-the-loop by default

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. We build them inside your existing stack: Xplan, AdviserLogic, Iress or Microsoft 365.

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.

DimensionAI consultant (THL)In-house AI hireNothing
CostA$2,000 a month, with builds quoted per phaseA senior salary plus on-costs$0 (apparent)
Speed to first deployWeek 1Months 4 to 6Never
Compliance riskPrivacy Act mapped pre-deployOwned by your hireShadow AI on personal accounts
Knowledge retentionDocumented playbook staysWalks out with the hireNone to retain
Vendor lock-inArchitecture survives swapsVendor-shaped by defaultN/A

How a wealth-management engagement runs

Compliance map
Week 1

Privacy Act 1988 obligations mapped. APP 11 sensitivity classification. Consent script drafted. Engagement-letter updates prepared for your AFSL.

Workflow build
Weeks 2 to 3

Onboarding assistant connected to your CRM. SoA template drafter trained on your last 30 SoAs. Meeting recorder + file-note generator deployed.

Adviser training
Week 4

Every adviser and paraplanner trained, with live SoA walkthroughs. Compliance team gets a separate review of the data flow.

Retainer
Ongoing

Monthly tune-up. Template library refreshed quarterly. New legislative requirements wired into the prompts as they land.

What an engagement looks like

This example is hypothetical. It follows the pattern of real Australian SMB and legal deployments. (We treat adviser firm work as confidential by default.)

EXAMPLE A $300M AUM Sydney advisory firm (6 advisers, 2 paraplanners)
What gets built
Onboarding assistant
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.
SoA drafter
Trained on the last 30 signed SoAs. Generates structured sections (scope, current position, recommendations skeleton, fees, risks). Paraplanner edits and adviser signs.
Meeting file-note generator
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.
What it unlocks
+8 advice hours / adviser / week
Equivalent to one extra new-client meeting per adviser, per week. 6 advisers × ~$1,500 per advice meeting ≈ $9K weekly capacity unlocked.
Compliance posture upgraded
Shadow ChatGPT use eliminated. AFSL-side audit trail in place from day one.

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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. We build inside your existing stack (Xplan, AdviserLogic, Iress or Microsoft 365) and never send client data to consumer AI products.

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 a Statement of Advice (fact-find summary, scope of advice, comparison tables and risk disclosures) from your house templates, with your previous SoAs as the training corpus. The adviser writes the actual recommendation and signs off. We aim to give every adviser 6 to 10 more advice hours per week, and the professional judgement stays with them.

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 to 15 advisers. Larger licensees usually run the full Horizon Method across multiple practices.

We’ve measured 20 financial advice firms against the questions clients ask AI engines. AI named the average firm in 11.1% of answers, and 6 of the 20 were never named at all.

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Adjacent reading

AI Ownership Readiness Check

Six questions, scored instantly in your browser. Try it before our first call.

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State of AI Readiness: Australian SMB 2026

First-party survey of 54 Australian SMBs. The same patterns hold for advice firms.

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AI for law firms

Same compliance posture, different vertical. Privilege-aware AI for Australian legal practices.

AI for legal →

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We work with mortgage brokers, talent agencies, healthcare and more.

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