RegTech in Australia: How Technology Is Transforming Compliance

RegTech has grown in relevance against a regulatory backdrop that has become more active, judging by ASIC's own recent enforcement figures. ASIC's own enforcement figures, set out below, show a regulator securing record penalty totals and filing more civil proceedings than in the prior corresponding period. For AFSL holders, that trend is a factual data point worth factoring into how a compliance programme is resourced, not a definitive map of where risk sits in any individual business.

The regulator has also been an active participant in RegTech itself, not just a bystander watching the market grow around it. Through its Innovation Hub, ASIC ran its own regtech trials as part of its 2018-19 RegTech Initiative, including a 2019 voice analytics exercise applied to more than 1,700 life insurance sales calls to test how automated analysis could identify poor sales conduct. When the regulator overseeing your licence has already tested this kind of technology on life insurance sales calls, the direction of travel is difficult to ignore.

Whether that regulatory backdrop is actually driving adoption at any individual firm is a judgment call for that firm to make, not a claim this article can prove either way. The more useful question for an AFSL holder is which parts of a compliance programme RegTech can genuinely strengthen, and which parts still depend on judgment, training, and a properly resourced compliance function. That distinction is the difference between a technology purchase that changes how your business demonstrates compliance and one that adds a dashboard nobody uses.

RegTech also sits alongside insurtech in how the industry talks about technology. The two categories overlap rather than one containing the other: insurtech spans tools aimed at different parts of a brokerage's operations, while RegTech more broadly covers technology that helps firms manage regulatory and compliance obligations. For the purposes of this article, the lens that matters is the compliance one: insurtech asks how brokerages can operate more efficiently, while this article's focus is the narrower question RegTech can help answer: how can a firm demonstrate, consistently and at scale, that it is meeting its obligations. For a brokerage where call volumes have outgrown what a compliance team can review manually, that is not a small question.

For the purposes of this article, RegTech's value for an AFSL holder can be grouped into three operational capabilities: continuous monitoring, structured record-keeping, and pattern detection across volumes of data too large for a compliance team to review by hand.

The first capability, continuous monitoring, addresses a resourcing reality rather than a legal technicality. A firm running a small compliance team against a large volume of client calls faces a genuine mathematical limit on how much it can review manually, no matter how capable that team is. A call review system configured to apply consistent screening logic across every recorded conversation, rather than a sample of them, can extend coverage beyond that manual limit.

The second capability, record-keeping, is about a system capturing compliance evidence as a byproduct of normal operations, rather than requiring someone to reconstruct it after the fact. That is a description of what the technology can do, not of what the law itself specifies. Where a brokerage gives personal advice to a retail client, the applicable record-keeping requirements call for records of specified matters relating to that advice, including the information relied on, the action taken, the advice given and the reasons for it, to be kept and accessible for at least seven years. Statements of Advice, file notes, correspondence and call recordings are examples of the kind of records that can evidence those matters. A system that timestamps, indexes, and retains call recordings alongside those other records does not replace the underlying obligation, but it does make the resulting record easier to produce and retrieve if a matter is ever reviewed.

The third capability, pattern detection, is the clearest point of contrast this article draws between newer, analytics-driven RegTech and older, rules-based compliance software that simply checks calls against a fixed list. Systems built for pattern detection can be configured to identify recurring language patterns, escalation triggers, or specific disclosure requirements across a call population, surfacing issues that can be easy to miss when calls are reviewed one at a time. That kind of systematic monitoring supports the general risk-management obligation set out in the Corporations Act, rather than existing as a standalone legal requirement in its own right.

Together, these three capabilities describe what a compliance function can look like operationally when it is built around RegTech: rather than growing a team to handle the same manual work at greater volume, a firm can keep its existing team focused on judgment calls while a system provides consistent coverage across client interactions.

A fair assessment of RegTech has to include what it does not do, because vendor marketing rarely volunteers this part.

None of this makes RegTech a poor investment. It means the category solves a defined set of problems well and depends, for everything else, on the compliance expertise a firm already has. The technology extends what a compliance function can cover. It does not replace the function itself.

A few operational habits are worth building into any RegTech adoption, independent of which specific platform a firm chooses.

Call intelligence can be understood as a specific slice of RegTech: technology focused on the conversations that generate compliance exposure for a services business, rather than on transaction data, disclosure documents, or reporting workflows more broadly. ASIC's own RegTech trials, including its voice analytics work, have treated this kind of conversation-focused technology as part of the same broader category.

For an insurance brokerage, that distinction matters because product advice, disclosure, and complaint handling can play out over the phone. A RegTech tool designed primarily around documents or transaction monitoring may not extend to that conversational activity without dedicated capability built for it, however capable it is at what it does cover.

Callyx.ai is built specifically for that gap. It automatically monitors every recorded call against the compliance framework a brokerage already operates under, rather than a fraction selected by manual sampling. Every disclosure, every advice conversation, and every compliance-relevant moment is reviewed, flagged where it warrants attention, and documented in a form the compliance team can act on and retain as evidence. That is the continuous monitoring and structured record-keeping described earlier, applied specifically to the insurance broking context rather than adapted from a banking or general financial services product.

Within the Australian RegTech landscape, that specificity is the position Callyx.ai occupies: not a general-purpose compliance platform retrofitted for brokers, but a tool built from the conversation outward, for a sector where compliance risk can arise in conversation, not just on paper.

Firms considering a RegTech investment can work through a short evaluation sequence before committing to any platform.

The RegTech developments covered in this article are unfolding alongside record penalty totals and rising civil proceedings from ASIC, set out earlier. ASIC's own enforcement record, and its own willingness to trial tools like voice analytics on real sales calls, both point in the same direction: firms that can demonstrate systematic, documented compliance may be better placed to respond to scrutiny than firms relying only on policy documents and periodic sampling.

As this article has set out, RegTech can help address three problems well: continuous monitoring at scale, structured and retrievable record-keeping, and pattern detection across volumes of data no compliance team could review by hand. It does not replace judgment, and firms that expect it to can end up with a false sense of coverage. Used well, alongside a properly resourced compliance function, RegTech extends what that function can see and evidence rather than substituting for it.

For insurance brokerages specifically, call intelligence is the part of RegTech built around conversations, one channel where compliance exposure can arise, not just paperwork. Callyx.ai automatically monitors 100% of recorded calls against a brokerage's own compliance framework, turning every client conversation into a reviewable, documented record without adding to the compliance team's workload. That is what RegTech, applied specifically to the sector where it matters most for a brokerage, looks like in practice.