Yes. Loan approval times for LMG brokers fell 18 per cent in July 2026 against July 2025, and LMG attributes the improvement to more than 3,800 of its brokers using AI note-writing and quality-assurance tools that catch file errors before lodgement rather than after (LMG, 2026). The gain is administrative, not credit judgement, and it is measurable per file today.
The idea
AI is not approving Australian home loans, it is removing the rework that slows them down. LMG reported in August 2026 that its brokers saw an 18 per cent year-on-year fall in approval times in July, with a 10 per cent reduction in median lodgement-to-approval time across the aggregator, on the back of more than 3,800 brokers using MyNoteWriter and MyQualityAssurance (LMG, 2026). MyQualityAssurance checks an application across more than 500 data points before it goes to the lender, which is the mechanism: a cleaner file the first time, fewer lender come-backs, and a shorter path to formal approval.
The saving shows up per application. Tania Richardson, operations manager at Loan Market Ellenbrook in Western Australia, reported saving around 50 minutes on every application using MyCRM Intelligence (Loan Market Ellenbrook, 2026). That figure is one brokerage's own measurement rather than an industry average, so treat it as a benchmark to test against your own files rather than a number to plan on.
Whilst the tools are working, the adoption is thin. The Connective AI Readiness Report surveyed more than 300 Australian mortgage, commercial and asset finance brokers in 2026 and found 37 per cent use AI tools regularly and confidently, whilst 86 per cent regard AI as essential or helpful over the next two years (Connective, 2026). The Australian Bureau of Statistics puts AI use across financial and insurance services businesses at 24 per cent in 2024-25, up from 1 per cent in 2021-22 (ABS, released 25 June 2026).
Why it matters
The commercial consequence for an Australian brokerage is capacity, and it is large enough to change hiring decisions this quarter. Broker demand is not the constraint: mortgage brokers wrote 81 per cent of new residential home loans in the March 2026 quarter, up 4.2 percentage points year on year, according to Cotality research commissioned by the Mortgage & Finance Association of Australia (MFAA, 2026). The constraint is how many files a broker can carry, and administrative load is what caps it. Regulatory and compliance tasks account for 23 per cent of overall broker workload and general administration a further 13 per cent, with half of brokers working more than 40 hours a week (FBAA and CoreData, 2024). It is the same capacity question that sits behind how much of a mortgage broker's day is actually spent advising clients.
Here is the arithmetic, using the Loan Market Ellenbrook figure as the input:
| Input | Value | Where it comes from |
|---|---|---|
| Time saved per application | 50 minutes | Loan Market Ellenbrook, 2026, one brokerage's own measurement |
| Files per broker per week | 4 | Illustrative, substitute your own |
| Files per broker per year | 200 | 4 files x 50 working weeks |
| Hours saved per broker per year | 167 | 10,000 minutes divided by 60 |
| Expressed as working weeks | A little over 4 | 167 hours at a 40-hour week |
| Across a five-broker firm | 833 hours a year | Close to half a full-time equivalent |
Half a full-time equivalent across five brokers is a real hire deferred, or a real lift in files settled without one, and it is a number an owner can check inside a fortnight by timing the current file notes, document handling and pre-lodgement checks, then timing them again with a tool connected to the CRM. The same recovered hours are what close the operational gap behind why Australian brokers are losing settlements they have already won, and it is the same capacity-per-file argument driving where AI creates real margin in real estate on the other side of most broker referral relationships.
The catch is where the gain currently sits. Connective found only 3 per cent of brokers have a formal AI policy, 65 per cent have no documented AI strategy, and 49 per cent report their AI tools are disconnected from core systems such as the CRM (Connective, 2026). Disconnected tools produce a saving that does not compound, because the broker still re-keys the output. Absent policy produces a different problem: from 10 December 2026, Australian Privacy Principle 1 requires entities to disclose in their privacy policy where computer programs make decisions that significantly affect individuals, and the Office of the Australian Information Commissioner names home loan eligibility as an in-scope decision (OAIC, 2026). A brokerage running AI anywhere near the assessment path has a privacy policy update due before Christmas.
What AI does and does not touch in a loan file
| Loan file task | Automatable today | The judgement that stays with the broker |
|---|---|---|
| Needs analysis and file note write-up | Yes, drafted from CRM data | Whether the recommended structure suits the client |
| Document collection, naming and filing | Yes, largely | Whether the evidence is sufficient for the lender |
| Pre-lodgement policy and data checks | Yes, LMG's tool checks more than 500 data points | The exception call and the lender conversation |
| Client status updates through to settlement | Yes, triggered from status changes | The conversation when a deal goes sideways |
| Compliance file assembly and record keeping | Partly | Responsible lending sign-off |
| Credit recommendation | No | All of it |
The Alvo take
The pathway for an Australian brokerage is narrow and worth taking in that order: measure the current time per file, automate the tasks that carry no credit judgement, connect the tool to the CRM rather than running it alongside, and write the AI policy before 10 December 2026 rather than after. Alvo's work with Australian mortgage brokers starts from the position that the sequencing matters more than the tool choice, because a saving that is not measured cannot be defended to a lender, an aggregator or a regulator. Working out which files are costing you that time is a structured assessment of where the hours actually sit rather than a software decision.
The lenders are moving on the same tasks. NextGen's Australian Lending Technology 2026 white paper, based on 132 Australian lending professionals, found 82 per cent of lenders expect AI to deliver most value in document processing and workflow automation, and 68 per cent in credit decisioning and risk scoring (NextGen, 2026). Brokerages that automate the administrative half of the file will meet a faster lender on the other side of it, and those that do not will simply absorb the difference in hours.
The honest read is that the technology question is close to settled and the operating question is not. Thirty-seven per cent of brokers using AI regularly against 3 per cent with a policy is not an adoption gap, it is a governance gap, and it is the one that turns a genuine capacity gain into a liability with a date attached.
AI is not approving Australian home loans, it is removing the rework that slows them down, and the saving is measurable per file rather than theoretical. Fifty minutes an application across a five-broker firm is 833 hours a year, close to half a full-time equivalent. The constraint is not the technology, it is that 37 per cent of brokers use AI regularly whilst 3 per cent have a policy, and Australian Privacy Principle 1 puts a date on that gap.
Sources: LMG, reported by Mortgage Professional Australia, Broker Daily and Australian Broker, 2026. Loan Market Ellenbrook, reported by Mortgage Professional Australia, 2026. Cotality research commissioned by the MFAA, reported by Mortgage Professional Australia, June 2026. Connective AI Readiness Report, reported by Australian Broker, March 2026. Australian Bureau of Statistics, Business Adoption of Artificial Intelligence 2024-25, released June 2026. OAIC on transparency in automated decision making under Australian Privacy Principle 1. NextGen, Australian Lending Technology 2026. FBAA and CoreData, reported by The Adviser, December 2024.
Common questions
Does AI actually speed up home loan approvals in Australia?
Yes. LMG reported that loan approval times for its brokers fell 18 per cent in July 2026 compared with July 2025, alongside a 10 per cent reduction in median lodgement-to-approval time. LMG attributes the improvement to more than 3,800 brokers using AI note-writing and quality-assurance tools that catch file errors before lodgement.
How much time can a mortgage broker save per loan file using AI?
Loan Market Ellenbrook reported saving about 50 minutes per application using MyCRM Intelligence in 2026. For a broker writing four files a week, that is roughly 167 hours a year, or about four working weeks. The saving comes from file notes, document handling and pre-lodgement checks, not from credit judgement.
What does the Privacy Act automated decision-making change mean for mortgage brokers?
From 10 December 2026, Australian Privacy Principle 1 requires entities to disclose in their privacy policy where computer programs make decisions that significantly affect individuals. OAIC guidance names home loan eligibility as an in-scope decision. Brokers and lenders using AI in assessment paths need their privacy policy updated before that date.
How many Australian mortgage brokers are using AI?
The Connective AI Readiness Report surveyed more than 300 Australian brokers in 2026 and found 37 per cent use AI tools regularly and confidently, whilst 86 per cent see AI as essential or helpful over the next two years. Only 3 per cent have a formal AI policy and 65 per cent have no documented AI strategy.
Where should a mortgage brokerage start with AI?
Start with the tasks that consume hours without requiring credit judgement: file notes, document collection and naming, pre-lodgement checks, and client update emails. Measure the current time per file first, so the saving is provable. Connect the tool to the CRM rather than running it beside the CRM.
Will AI replace mortgage brokers in Australia?
No, and the market data points the other way. Mortgage brokers wrote 81 per cent of new residential home loans in the March 2026 quarter, according to Cotality research commissioned by the MFAA, up 4.2 percentage points year on year. AI is reducing the administrative load per file, not the demand for broker advice.