If you feel behind on AI, you're not alone. Most brokers do.
But here's what's actually true: simply having a paid AI tool and using it regularly already puts you ahead of most people. At a recent series of broker events across Adelaide, Brisbane and Perth, most hands went up when brokers were asked if they felt behind on AI, but Connective's AI Readiness Report, based on a survey of 300+ Australian brokers, told a different story. Brokers are already on the tools. They're already using them.
AI has quietly become part of the everyday infrastructure of broking, often without brokers actively choosing it.
Some examples already live in Australian broking businesses right now:
CRM and workflow tools.
LMG has rolled out MyCRM Intelligence, embedding AI directly into the platform many brokers already use daily, designed to cut admin time and surface client insights faster.
Policy and servicing tools.
Platforms like Quickli and ScaleConnect use AI to calculate borrowing capacity across dozens of lenders instantly, and to automate workflow steps that used to take hours.
Fraud detection.
Lenders including CBA have introduced AI systems that monitor transaction and application data in real time to detect emerging fraud patterns.
Property and portfolio tools.
Platforms like PropVA use AI to give brokers real-time visibility into a client's investment property portfolio.
If you operate under an aggregator or use a modern CRM, there's a good chance AI is already running inside your business, whether you set out to "adopt AI" or not.
Used well, AI is proving to be a genuine accelerant for broking businesses, not a replacement for them.
The Mortgage & Finance Association of Australia (MFAA) has been clear on this point in its formal guidance for the industry: AI gives brokers the opportunity to improve their business and client experience, but it will never replace the human, deeply personal relationship that only a broker can have with their client.
In practice, brokers are using AI well for things like:
One Queensland broker reported halving average deal time from 10–14 hours to five to seven hours using AI for tasks like file renaming, financial analysis, and lead management.
The pattern is consistent: AI works best when it removes friction from process, not when it's left to make judgement calls on its own.
Where does AI create risk for brokers?
This is the part that matters most, and it's the part most brokers haven't thought through properly.
AFCA, the Australian Financial Complaints Authority, released its 2026 Systemic Issues Insights Report this year, and the findings are directly relevant to anyone using automation in their business. The headline message: compliance failures in financial services usually aren't caused by a lack of policy. They happen when systems and processes don't function properly in everyday practice, including automation and AI-generated content.
In other words: The risk isn't using AI. It's assuming it's working correctly without checking.
A few specific risk areas worth understanding:
Unsupervised CRM communications.
If your CRM is sending automated client communications, are you confident every message is accurate, compliant, and appropriate for that specific client?
AI-generated content.
Marketing copy, social posts, or client emails drafted by AI still need to meet the same advertising and BID standards as anything you write yourself. AI doesn't know your compliance obligations, you do.
Fraud risk cuts both ways.
As lenders use AI to detect fraud, fraudsters are increasingly using AI to generate falsified documents and income statements. CBA has specifically flagged this as an escalating issue in the Australian mortgage market.
Over-trusting the tool.
The MFAA's own roundtables with over 75 members found that while brokers are enthusiastic about AI's efficiency gains, they also have real concerns about privacy, bias, and accountability, concerns that don't disappear just because a tool is convenient.
A few things should always stay firmly in human hands, regardless of how capable the tools get:
Best Interests Duty decision-making.
AI can help you organise information. It can't make the judgement call on what's genuinely in a client's best interest, that's your obligation, not a tool's.
Final compliance sign-off.
Whether it's a marketing post or a file note, AI-generated content needs a human check before it goes out, every time.
The client relationship itself.
As the MFAA puts it plainly, the human, deeply personal relationship a broker has with their client isn't something AI is positioned to replace.
Judgement calls in unusual or complex scenarios.
AI is built on patterns. The moment a client's situation doesn't fit the pattern, that's exactly when your experience matters most.
You don't need a complicated governance framework. You need a habit of checking.
A few starting points:
The MFAA has published a practical checklist for brokers integrating AI into their business, worth bookmarking alongside this one
AI doesn't replace structure. It depends on it.
The brokers getting the most value from AI right now aren't the ones with the most tools, they're the ones with the clearest processes for using them. That's where coaching and AI intersect more than people expect.
At Success & Broker, we help brokers build the structure, process, and oversight habits that let new tools like AI actually support growth, without creating risk you don't see coming.
If you're not sure whether your current processes would hold up to scrutiny, that's exactly the kind of conversation worth having.
