What Financial Advisers Should Automate First with AI

I'd start with the admin around the advice. Build a reliable consent renewal pipeline, then add meeting preparation and document chasing. Use fixed rules for dates and deadlines, and AI for drafts that someone checks.

Which Three Admin Workflows Should Financial Advisers Automate First?

My order is consent renewals first, meeting preparation second and document collection third. Consent comes first because a missed obligation can end the fee arrangement. The other two prepare a checked client record before advice work begins.

The same trigger, draft and approval pattern appears in AI automation for real estate agents. For financial advisers, build the consent deadlines and licensee requirements into the design first.

How Do You Automate Review Reminders and Fee Consent Renewals Within Asic's Timeframe?

As at 18 October 2026, ASIC INFO 286 gives a window beginning 60 days before the reference day and ending 150 days after it. Where no reference day is agreed, ASIC describes the timing by reference to the arrangement's anniversary. Confirm the correct date with your licensee before configuring anything.

ASIC says failure to comply with the OFA consent obligations terminates the arrangement. A review booking does not establish consent. Written consent must be signed and dated; electronic consent is allowed, but verbal consent is not.

1. Trigger: Open a task when the consent window begins, using a checked reference day or applicable anniversary.
2. Prepare: Draft the review invitation, prepare the approved consent form and queue reminders for unsigned forms.
3. Approve: Have the adviser check the fee terms, wording and documents before sending. Agree any repeat reminder wording and rules through the practice's approval process.
4. Record: Save the signed, dated consent, receipt date, communications and approval history against the client.
5. Measure: Track signatures within the window, days to signature and unresolved arrangements approaching the deadline.

As at 18 October 2026, INFO 286 requires specified OFA records to be kept for at least five years. Sending through an agent leaves responsibility with the fee recipient. Automation does not transfer that responsibility either.

I'd make a missing date, failed reminder or unreadable form an exception for a person to resolve. An email marked as sent must never turn the client record into consent received.

Can AI Draft Meeting File Notes and Prepare for Soa Work?

I'd use AI to assemble material for checking: approved client circumstances, outstanding questions and a draft meeting summary. Recommendations, strategy and best interests reasoning stay with the adviser.

The trigger is a booked meeting. The system prepares a brief from approved records, then drafts a file note from authorised meeting material afterwards. The adviser checks what the client said, corrects errors and adds missing context before approving the note.

Record the approved note in the CRM or planning software, alongside the approval history. A chatbot conversation is no substitute for the practice's record process, and an AI transcript does not establish compliance on its own.

Measure the time from meeting end to an approved note. A practice could set a target of approval within 24 hours, but that is an operating target, not a regulatory deadline.

For SOA preparation, the system can assemble factual sections from the approved fact find for the paraplanner. Do not treat fluent wording as proof of accuracy or a compliant SOA. The financial adviser AI tools guide covers tool choices separately.

How Should AI Chase Documents Before Soa Work Begins?

Start when a review is booked or advice work begins. Compare the approved document checklist with what is already on file, then prepare a request for missing items such as current super and insurance statements, payslips or updated goals.

The adviser or paraplanner approves the request. Returned documents can produce proposed fact-find changes, but each change needs checking before being written to the client record.

Record what arrived, what remains missing, where each proposed update came from and who approved it. Flag conflicting information instead of letting AI choose which version is right.

Measure days from booking to a complete file, reminder counts and paraplanner time spent chasing. The client document collection guide explains the wider workflow, while mortgage broker automation provides an adjacent industry example.

What Does Asic Expect, and How Does Privacy Apply?

ASIC's October 2024 AI governance warning called for adequate governance before deployment and ongoing due diligence on third-party AI suppliers. I'd check the licensee's AI policy before buying a tool or connecting client records.

The OAIC's guidance says privacy obligations apply to personal information entered into AI systems. Its best-practice recommendation is to avoid entering personal information, particularly sensitive information, into publicly available generative AI tools.

Check what information the workflow needs, who can access it, supplier handling and retention, and the required privacy notices. The OAIC also addresses accuracy and human oversight. The guide to client data in AI tools explores those checks.

These regulatory points are general information. Confirm the design against ASIC and OAIC guidance and your licensee's requirements.

Example: A Consent Renewal Workflow for Three Advisers

This is a proposed design, not a Truespeak client project.

For a three-adviser practice, the system opens a task 60 days before each client's checked reference day. It drafts a personalised review invitation and attaches the approved consent form. The adviser approves before sending.

The system queues reminders at agreed intervals and flags unsigned consents with fewer than 30 days remaining. That escalation threshold is a design choice. A person handles exceptions, and the signed, dated form is logged against the client record.

After the review meeting, the system drafts a file note for correction and approval. Missing documents remain visible as open tasks.

Build around the existing software. Iress describes Xplan's open API architecture, but the actual connection needs checking. Where no usable connection exists, that step stays manual.

What Should a Financial Adviser Never Hand to AI?

• Final recommendations, strategy or best interests reasoning.
• Authority to treat an unsigned form or verbal agreement as valid consent.
• Unreviewed changes to client circumstances, fees or advice documents.
• Client fact finds, tax file numbers or health details pasted into a free public chatbot.
• Final responsibility for regulatory obligations or sensitive client communications.

I'd stop a workflow that hides uncertainty. A visible exception gives someone a job to resolve; a confident guess can pass unnoticed.

How Do You Measure Whether the Automation Is Working?

Record a baseline before launch, then compare the same measures: consent completion within the window, approaching deadlines, approved note turnaround, document completeness and staff chasing time.

Also track corrections, failed sends and unresolved exceptions. Faster drafting means little if advisers spend the difference repairing the output.

For an Australian advice practice that wants admin workflows designed, built and run around its existing CRM and planning software, with the adviser approving anything involving advice, money, consent or the client relationship, Truespeak is built for exactly that.

I'm Sydney-based, and clients work directly with me. The closest work I've done is Broker Book, a mortgage broker CRM reactivation system that includes a six-monthly rate review for each client, being built with Loan Market Dee Why. Truespeak monitors workflows, fixes failures and reviews exceptions after launch. Truespeak gives no financial advice. A discovery call starts with the workflow, the approval points and the connections your software supports.