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Purpose-built AI Agent

SMSF Lead Triage Agent

Find the loans hiding in your database — in hours, not weeks.

When the rules change overnight, your next deals are already in your contacts. This assistant reviews your CRM and email history, shortlists the clients most likely to qualify, and drafts personalised outreach for your team to review and send.

Powered by Local AI — runs entirely on your device
Your client data never leaves your computerNo PII collected by Melbourne AI Agents

Pricing

$1,000 setup+ from $5/contact
  • + $5/contact for 1–500
  • + $3/contact above 500

Zero-conversion guarantee: if none of the shortlisted leads convert after your team contacts them, we refund 100% of what you paid — no questions asked.

Inclusions

  • CRM + inbox connection and secure isolation
  • Shortlisting and personalised draft outreach
  • Human-approval workflow
  • One-time execution — no ongoing retainer

Exclusions

  • Financial or credit advice (you remain the licensed adviser)
  • Sending messages without your approval
  • Third-party SMS/email sending fees
Offer closes 20 July · Ban now law

New SMSF residential property borrowing is now banned

On 23 June 2026 the Government announced a ban on new Limited Recourse Borrowing Arrangements (LRBAs) for residential property inside SMSFs. The legislation passed both houses on 25 June and received Royal Assent on 26 June 2026. The ban commences 45 days after Royal Assent on 10 August 2026. Existing arrangements are grandfathered and commercial property is unaffected — leaving a rapidly closing window in which your best-placed clients may already be sitting in your database.

Key dates

  • 23 Jun 2026Government announcement
  • 25 Jun 2026Legislation passed both houses
  • 26 Jun 2026Royal Assent received
  • 10 Aug 2026Ban commences (45 days after assent)

What's changing

  • New residential-property LRBAs inside SMSFs

Not affected

  • Existing LRBA contracts (grandfathered)
  • Commercial, business and rural property
  • Standard ATO short-term borrowing exceptions

Based on the Treasury Laws Amendment (Tax Reform) Bill 2026 which received Royal Assent on 26 June 2026. The ban on new SMSF residential property LRBAs commences 10 August 2026. Confirm implementation details with your licensee or adviser.

Problems this solves

  • Hundreds of past clients buried in your CRM with no time to review them
  • A short compliance window with deals at risk of going cold
  • Manual list-building that eats broker hours better spent closing
  • Generic blasts that ignore each client borrowing capacity and history

How it works

Your CRM
Email history
Triage Agent
Ranked shortlist
Draft outreach
You approve
  1. 1

    Connect securely

    We plug into your CRM and inbox with read-only access. Your data stays yours and isolated.

  2. 2

    Shortlist & rank

    The assistant surfaces past clients most likely to qualify, with a clear reason for each.

  3. 3

    Draft outreach

    It prepares a personalised email/SMS per contact for your team to review, edit, and send.

  4. 4

    You stay in control

    Nothing sends automatically. A human approves every message before it goes out.

Qualifying criteria

The agent scans your contact history for these signals to decide who is worth a conversation. Exact thresholds are confirmed with you during setup — these are the indicators we typically start with.

Key filter

Super balance $150K–$200K+

Clients with at least $150,000–$200,000 in SMSF net assets typically meet lender minimum requirements. The higher the balance, the stronger the candidate. This figure is usually self-reported on a fact-find or visible in super statements uploaded to the file.

Strong signal

Business owner or self-employed

Business owners can purchase their commercial premises through their SMSF, then lease it back to their own business. After the residential LRBA ban, this is the most compelling and time-unlimited opportunity remaining — and broker CRMs are full of self-employed clients who have never been offered it.

Strong signal

Prior SMSF or super investing inquiry

Has asked about SMSF, super investing, or property through super in past emails, conversations, or notes. A client who has already asked the question has crossed the knowledge barrier — they are far more likely to act than a cold contact who has never considered it.

Indicator

Age 35–55

This range typically has enough accumulated super to meet lender minimums and enough working years remaining to service the loan and benefit from the SMSF structure before retirement. ATO data shows 35–44 year-olds represent 39.5% of all new SMSF registrations.

Indicator

Household income $150K+

Higher income means higher Superannuation Guarantee contributions flowing into the fund each year, which improves the SMSF's ability to service loan repayments during vacancy periods. Used as a proxy for fund serviceability when balance data is unavailable.

These are example indicators. Exact signals and thresholds are calibrated to your specific CRM data and requirements during onboarding.

Works with your stack

Plugs into the platforms Australian brokers already use

We connect to your existing aggregator platform and CRM — no rip-and-replace.

Aggregator platforms

AFG logo
Connective logo
LMG / Loan Market logo
Finsure logo

Broker CRM & tools

Salestrekker logo
HubSpot logo
Infynity logo
GoHighLevel logo

Logos are trademarks of their respective owners and shown to indicate compatibility. Integration availability is confirmed during scoping.

Interactive

Estimate your upside

200
8%
25%
$4,000
Estimated commission value
$16,000
Setup cost(your DB size)
$2,000
Net return
+$14,000

How this is worked out: Estimate = database size × shortlist rate × conversion rate × average commission. Illustrative planning figures you control — not a forecast or guarantee.

Security

Your data stays yours

Security and isolation are built in from day one — not bolted on later.

Read-only access

The assistant reads to shortlist and draft — it never writes to or deletes from your systems.

Isolated per client

Your data is logically isolated. Nothing is shared across clients.

Never trains public models

Your client data is never used to train public AI models.

Human in the loop

Every outreach message is approved by your team before it sends.

Runs on your device

Powered by Local AI (Ollama). The agent runs entirely on your own computer — no data ever leaves your machine.

Auditable

Actions are logged so you can see what the assistant did and why.

Who it is for

Mortgage & Finance BrokersFinancial PlannersAccounting FirmsSMSF Specialists

FAQ

Want this running on your database this week?

Tell us your CRM and rough contact numbers. We map a setup plan and hand back a shortlisted lead list with personalised outreach drafts — ready within 2–4 days. Your team approves every message and closes the deal. Results depend on your database size and how many clients already have an established SMSF.

This assistant is an internal productivity tool, not financial product advice. You remain responsible for licensing and compliance. ROI estimates are illustrative only.