The best AI tools for mortgage brokers in Australia, by job

AI tools for mortgage brokers at a glance

Most of the useful AI for mortgage brokers in Australia now arrives inside a broker platform, so check what you already pay for first. The tools also split by what they read: application data, documents, lender policy or a conversation. No tool reads all four.

Lead capture and follow-up

The job here is to answer a new enquiry quickly, book the appointment and keep past clients warm. Effi describes itself as built for Australia's mortgage and finance brokers. Its pricing page lists an AI SMS chatbot that it says reaches out to clients and leads in natural conversation to book appointments, and AI Assist, which prepares automated responses to clients. The Professional plan is listed at $180 a month per broker with no lock-in contract, and the page notes that selected AI features may carry usage-based charges.

We could not find AI features named on the home or pricing pages of BrokerEngine as at October 2026. It does list automated emails and SMS messages and automated client review triggers, which cover a lot of follow-up without AI. Its pricing page lists a broker user on the Standard plan at $163.90 a month including GST on monthly billing. AFG brokers use BrokerEngine Plus, which is priced separately.

What to check. A chatbot that talks to your leads is speaking for your business. Read a sample of its conversations and make sure nothing in them sounds like a product recommendation.

Fact find

A fact find gathers the client's requirements, objectives and financial situation. Under s 117 of the National Consumer Credit Protection Act 2009 (NCCP Act) you must make reasonable inquiries about those things and take reasonable steps to verify the financial situation before the preliminary assessment. AI helps by filling fields from documents and data sources so the client is asked fewer questions twice.

• Quickli Pro. Quickli lists Fact Find / Doc Collection in its Pro plan and describes an AI-powered fact find that fills your scenarios from documents and integrations, with intelligent document requests.
• LMG MyCRM. Loan Market Group's technology page lists digital fact finds and automated document collection as part of MyCRM.
• Sherlok. Sherlok describes InstantAPPLY as handling the fact find, scenario comparisons, product selection, bank statements and credit reports. Its site says InstantAPPLY is included in every active Sherlok subscription and that new onboarding is paused while it rolls out to existing customers. We could not find the term AI on its site as at October 2026, and it does not publish a subscription price.

What to check. Read every auto-filled figure against the source document, and ask the client the open questions a form cannot ask: what is changing in the next few years, and what matters most to them. Those answers belong in the file note. See responsible lending inquiries and file notes.

Document collection and checking

This is where AI saves the most typing. The tools read payslips, statements and tax documents, name them, and pull the figures out.

• Quickli Doc Handler. Quickli says Doc Handler automatically detects, renames and extracts key information to auto-fill your scenario, and identifies document types such as payslips, statements and valuations. It is in the Pro plan with a monthly credit allowance.
• LMG MyDocuments. Loan Market Group says MyDocuments automatically classifies, renames and redacts documents.
• Effi AI Document Analyser. Listed on Effi's pricing page. The page does not say what the analyser checks, so ask for a demonstration.
• Frollo for Brokers. Frollo is a free open banking portal for receiving a client's account data. Its page describes AI-powered insights and categorisation of transaction data.

What to check. Extraction is not verification. A tool that reads a payslip tells you what the payslip says. Whether the document is genuine and consistent with the bank statements is still your judgement. We have not listed any document fraud checkers because we could not confirm one on its own site this month.

Serviceability, product research and lender policy

Quickli says it runs serviceability checks across 51+ lenders and that more than 14,000 brokers use it. Its Pro plan adds Jiffi AI, which it describes as a custom assistant for asking questions across 51+ lender policies and products and getting lender-sourced answers. Salestrekker describes Policy AI as giving brokers instant access to lender policy rules without searching through manuals, PDFs or external tools.

What to check. Policy answers go stale. Lenders change policy without notice, and an assistant can only be as current as its last update. Treat the answer as a pointer to the policy, confirm anything that decides the deal with the lender's own document or your BDM, and save what you relied on. ASIC's Regulatory Guide 273 lists the outputs of product and feature comparison tools, including calculators, among the forms a broker's records can take (RG 273.167(e)).

Submission notes, compliance and file review

These tools work from the data already in the application. They draft the notes that go to the lender and check the file before it is lodged.

• Salestrekker AI. Salestrekker says its AI generates content to help write application submission notes and compliance comments, and that the broker's input is required to make sure the notes are compliant and fully accurate. Its pricing page lists Salestrekker AI in the Premium Broker plan at $249.99 a user a month plus GST, and notes that reseller pricing may differ.
• Salestrekker Audit AI. In a news post dated 9 September 2026, Salestrekker said Audit AI automatically reviews key components of a loan file at the point of submission and flags issues that may affect quality, accuracy or lender requirements. It said Audit AI is available only in Salestrekker 2.0 and is activated through approved aggregator partners, so ask your aggregator whether you can use it.
• Quickli Loan Notes. Quickli says this generates loan submission notes by compiling key information, and highlights missing information.
• LMG MyNoteWriter and MyQualityAssurance. Loan Market Group says MyNoteWriter creates audit-ready best interests duty notes, client summaries and exit strategies, and that MyQualityAssurance automatically flags potential issues.

What to check. ASIC expects evidence of compliance with the best interests duty to come predominantly from the broker's records (RG 273.21), and those records generally include the options, the recommendation and the reasons (RG 273.165). A note drafted from application fields can list the product and its features. It cannot know what the client told you on the phone. If the reasons in a generated note would fit any client, rewrite them. Our guide to AI file notes and broker compliance covers this in detail, and the mortgage broker compliance audit checklist lists what a file review asks for.

Call and meeting notes

This is the only category that reads the conversation. RG 273.169 says taking notes throughout the process, contemporaneously, may help you capture your reasoning at each point. Three kinds of tool do this for brokers.

On our own product: CallNote never records calls and never stores call audio. Transcripts arrive automatically from Aircall, Dialpad or Microsoft Teams, or you paste one, upload a file, forward it by email or dictate a voice memo. The published note is locked. Data is stored in Sydney and is not used to train AI, and the AI model that writes the note is run by a provider outside Australia. It has no connection to Mercury Nexus, MyCRM, Salestrekker or any other broker CRM, so the note reaches your aggregator platform by copy and paste or as a PDF. If your CRM's own note feature already does the job, use that. The full comparison is in AI note takers for mortgage brokers, and general meeting recorders are covered in the best AI note takers in Australia.

If any tool records or transcribes a call, consent rules apply. As general information, not legal advice: New South Wales, Western Australia, South Australia, Tasmania and the ACT generally require all parties to consent to recording a private conversation, Victoria, Queensland and the Northern Territory generally allow a party to record, and phone calls are also covered by the federal Telecommunications (Interception and Access) Act 1979. Tell the client at the start of every call.

Marketing and content

Rate change emails, first home buyer explainers, social posts and website copy do not need client data, which makes them the safest place to start with a general assistant such as ChatGPT, Claude or Microsoft Copilot. Check every rate, grant amount and eligibility rule against the source before you publish, because these tools state wrong figures with confidence. We cover safe uses, the account settings that matter and ten prompts in ChatGPT for mortgage brokers.

What the aggregator CRMs now build in

A blank here means only that the public website did not mention it. Ask your aggregator what is live and what is planned. For the non-AI parts of the stack, see what software do mortgage brokers use.

What to check before you put client data into any AI tool

1. Does the Privacy Act apply to you? The Privacy Act 1988 covers businesses with annual turnover above $3 million and some smaller ones listed in s 6D(4). Many brokers also take on privacy obligations through their aggregator or licensee agreement. Ask your licensee which applies.
2. Is this a use the client would expect? The Office of the Australian Information Commissioner (OAIC) says in its guidance on commercially available AI products that Australian Privacy Principle 6 limits personal information put into an AI system to the purpose it was collected for, unless you have consent or the use would be reasonably expected. It also recommends, as best practice, not entering personal information into publicly available generative AI tools.
3. Where is the data stored and processed? Storage and AI processing can be in different countries. Quickli, for example, says its core hosting is in the Sydney region and that some processing, including AI API endpoints, may occur outside Australia. If the Privacy Act applies, APP 8 and s 16C generally make you accountable for what an overseas recipient does with the information.
4. Is it used to train a model? Get the answer in writing, from the terms or a trust page. A sales call is not enough.
5. How long is it kept, and can you delete it? Ask about retention of the inputs, the outputs and any logs.
6. What do your aggregator and licensee allow? Some have an approved software list or an AI policy. A credit licensee must take reasonable steps to ensure its representatives comply with the credit legislation (NCCP Act s 47(1)(e)) and, unless it is regulated by APRA, have adequate risk management systems (s 47(1)(l)(ii)), so expect them to have a view.
7. Does the record survive? A client can ask for a copy of the preliminary assessment within 7 years of the credit assistance quote (NCCP Act s 120). Whatever the AI produced and you relied on needs to be on the file, exportable, for at least that long. See NCCP record keeping requirements.
8. Who checked it? Decide who reviews each AI output before it reaches a client, a lender or the file, and note that they did.

What good use looks like on one file

A short note on the file can show which tools were used and what the broker checked. This example is fictional.

The note answers what an auditor would ask: what the software did, what a person checked, and whose reasoning the recommendation is. Run a draft through the NCCP file note checklist if you want a second look.

Common questions