ISCOVER
A new artificial intelligence platform designed to automate self-employed income analysis for mortgage brokers is officially launching in a limited release.
Mortgage broker Joel Wyld and credit analyst Ben Callaghan from Sydney-based brokerage Peasy have co-founded a new AI tool, called Accurateli, that aims to remove the time and complexity involved in assessing tax returns and financials for self-employed borrowers.
Accurateli, which will open on Friday (29 August) to 100 free users ahead of a full release scheduled later this year, allows brokers to upload tax returns to generate lender-ready income summaries with broker notes in under five minutes.
It is believed to be the first automated self-employed assessment tool in market for brokers.
How does it work?
The tool extracts data (individual and company, with trust structures said to be added soon) using a combination of Google’s optical character recognition (OCR) technology and proprietary AI models.
Unlike generic OCR tools, which capture only 20–30 data points, Accurateli has been purpose-built for Australian mortgage broking and is capable of extracting up to 180 fields per document, according to the founders.
Its engine combines fixed conditional logic with custom-trained AI models fine-tuned specifically for Australian tax returns and self-employed lending.
According to the co-founders, the system achieves more than 99 per cent accuracy across most fields, significantly higher than the early 90 per cent accuracy rate common with off-the-shelf solutions.
By building the platform end-to-end, the team said they have been able to embed "policy-level logic", customise add-backs (such as expenses, depreciation and instant asset write-offs), and allow brokers to toggle servicing scenarios without needing to revert to spreadsheets.
The duo has spent the last two years building and funding the new technology for the wider broker market, and today opened up to the first 100 users.
Speaking to The Adviser about the new tool, Wyld said the idea for Accurateli stemmed from years of frustration at how long and complex self-employed assessments could be.
“For years, self-employed deals have been one of the biggest pain points for brokers – and one of the main reasons clients get put into higher-rate, alternative products unnecessarily,” he told The Adviser.
“Accurateli removes the guesswork and the hours of manual work, so brokers can focus on loan structuring and client experience.”
Callaghan emphasised the practical value of the technology.
“We didn’t want another ‘AI gimmick.’ This is a practical tool that brokers can use today to save hours per deal, reduce errors, and scale without extra staff,” he said.
“The early results have been phenomenal – what once took hours now takes minutes.”
Why self-employed borrowers?
Self-employed borrowers are one of the fastest-growing segments of the market, but remain one of the most difficult for brokers to assess.
Manually reviewing tax returns and applying lender-specific add-backs is often time-consuming, error-prone, and requires specialist knowledge, the duo said.
As such, the Accurateli founders have built the tool “by brokers, for brokers,” to ensure consistency, compliance, and scalability across loan assessments.
Once a tax return is processed, the platform generates a clean, structured income report with policy-aligned notes, giving brokers and lenders a high level of confidence in the assessment.
Wyld concluded: “We stand shoulder to shoulder with brokers and self-employed borrowers to remove complexity, provide speed, and give borrowers the lending options they deserve,” Wyld said.
Accurateli is one of several AI-backed tools launched by brokers to solve common pain points.
Earlier this month, LMG broker couple Estelle Dejean and Devon Mohi from FINANS Brokers and software specialist Emilien Perico, launched Thryvve, a tool that enables mortgage brokers to input client scenarios using natural language and receive lender-specific policy responses based on verified policy documentation.
Other recent launches include policy AI engine Cynario and The Brokers’ Bible (recently acquired by LMG).
Major brokerages, including Aussie and Loan Market, have also recently announced major investments in AI strategies to help free up broker time and boost efficiency.
As more major brokerages pilot AI tools across their networks, brokers who haven’t moved beyond dabbling with risk are being urged to upskill.
AI and digital marketing specialist Adam Franklin has warned that the pace of AI adoption may be accelerating, but few brokers know how to fully utilise AI.
To help brokers build practical AI capability, The Adviser’s sister brand, Captivate Q, has launched AI Edge for Mortgage Brokers, a one-day, hands-on workshop. Spaces are limited to 40 brokers.
It will debut in Sydney on Monday, 15 September at QT Sydney, with Melbourne, Brisbane, Perth, and Adelaide dates to follow.
[Related: Brokers warned to close AI capability gap as more tools roll out]
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