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Australian Finance Group (AFG) has announced that it is rolling out an artificial intelligence (AI) tool, AssistAI Document Intelligence, to reduce broker administration times and accelerate efficiencies.
Announced at AFG’s national conference, AFG Next, in Melbourne, the AssistAI Document Intelligence tool will integrate directly into AFG’s customer relationship management (CRM) platform, BrokerEngine Plus, in the new year.
The software automatically reads and aggregates client documents, extracts key information, and pre-fills fields within a borrower’s mortgage fact-find.
By increasing upfront data accuracy and completeness, the platform aims to help brokers carry out a lighter review with fewer corrections while enabling clients to return their completed fact-finds faster without repeatedly keying in details.
In addition to data entry, Document Intelligence runs automated verification checks across uploaded supporting paperwork (including payslips, residential history and financial statements), alerting brokers to missing information and discrepancies across documents.
Under the workflow, borrowers can also check and adjust pre-filled data before submitting their applications, retaining final oversight and responsibility for reviewing files and progressing the loan.
AFG chief digital officer Sam McCready said pilot testing showed significant operational gains for broking businesses.
“Our focus has always been on developing technology that makes a real difference to broker productivity,” McCready said.
“The pilot has proven that AssistAI Document Intelligence saves significant time for both the broker and their clients. We’re excited about the potential to make this work faster and easier while keeping brokers in control.”
The roll out forms part of the aggregator’s wider technology roadmap aimed at eliminating friction and improving efficiency across broker networks.
“AI isn’t going to replace mortgage brokers, but it will change how they work. Brokers who embrace AI will have more time for the conversations that win clients and grow their businesses,” the CDO said.
“It’s their judgement, advice and relationships that set them apart, and that’s where they should be spending their time,” McCready added.
The technology release also ties directly into AFG’s broader strategic roadmap towards FY2028–29.
Speaking at the AFG Next conference on Tuesday (10 November), AFG chief executive David Bailey highlighted technology as one of the aggregator’s three core growth pillars, warning that failing to offer seamless digital convenience will leave brokers exposed to shifting consumer expectations.
“The way I look at it is, our role as an aggregator is to provide the technology that enables you to compete in a new world, create that seamless customer experience, to provide that level of convenience that the future customer may be looking for.”
He added: “Competition and choices are the flagstones of your business, but if you are not providing an experience for the customer up front, which is seamless and convenient, you’re going to fall behind.”
The growing use of AI in broking
AFG’s move to roll out AI tools for its brokers comes as many other groups have begun offering similar solutions to their broker members.
Lendi Group was one of the first groups to announce it was to become AI-native and have AI extend into all areas of the business, with over 1,350 brokers across 220 stores to use AI in the home loan process.
The ambition is to see agentic AI implemented in every decision made at the company, supported by an AI team.
In September 2026, rival aggregator Yellow Brick Road launched its own multi-agent AI platform, designed to speed up customer settlements and improve broker productivity.
Indeed, its CRM platform is backed by Salestrekker – also used by several aggregator groups, including Specialist Finance Group, outsource Financial and Astute – which launched a new AI-powered tool last month to audit loan files in real time at the point of lodgement.
Meanwhile, Mortgage Choice also unveiled a bolstered suite of AI tools and tech upgrades aimed at driving broker efficiency, reducing manual administration, and modernising consumer engagement platforms, as has Loan Market.
Brokers are also using AI to bring their own solutions to market as well.
For example, AI broker platform Cynario has launched Maximum Borrowing, a platform which combines AI-powered policy research with live open banking data to help brokers assess a client’s borrowing capacity across multiple lenders without repeatedly entering the same information.
Additionally, ID verification systems have also had an AI makeover, with Melbourne brokerage Finspo releasing a new tool that extracts client data from identification documents, pre-populates application fields, and checks the information against existing records.
Indeed, the increasing use of AI in the broker channel has not been ignored by regulators, with the Australian Securities and Investments Commission laying down strict parameters on how brokers use automated decision engines and AI tools in its newly released report, Mortgage brokers: Review of best interests duties and complaints handling practices.
[Related: Open banking powers up, but consent and reliability lag]
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