Australia's wealth management sector is sitting on a bright future, with massive demand for advice, and to seize that opportunity firms need to be more operationally efficient and compliant with regulatory demands. Properly implemented AI and intelligent automation are the best ways to overcome those challenges and achieve meaningful, long-term success.
The defined contribution scheme in Australia protects the system from global economic and political headwinds, ensuring that the wealth management outlook in Australia remains robust, with solid demand for expansion.
The total assets under management (AUM) for wealth management in Australia topped AUD $3 trillion (US $1.95 trillion) in 2025, and is projected to reach AUD $3.09 trillion (US $2.06 trillion) by 2030. An additional 70,000 Australians crossed the AUD $1m investible asset threshold over the past year, entering “high net worth” status. This rapid wealth creation means that around one in ten Australians is now a US-dollar millionaire – one of the highest proportions globally, according to UBS.
Effective AI Adoption Must Keep Pace with a Growing Australian Wealth Market
This dual surge, both in industry AUM and individual wealth, presents a massive opportunity but in this digital age, it instantly begs the question: how effectively are Australian firms leveraging tools like AI?
As it stands, there’s room to do better.
Australian firms lag behind regional peers in adopting AI, putting AUD $142 billion of economic opportunity at risk, according to joint research from Cisco and the Governance Institute of Australia. That same research revealed a huge governance and skills gap, finding that 64% of companies have not provided any AI training, while a shocking 93% cannot effectively measure their ROI. Overcoming barriers in adopting AI, ensuring the technology is used effectively, and maintaining regulatory compliance are the current challenges now facing the Australian financial sector.
Communify’s Will Bailey, President of International Sales and currently based in Sydney, sat down with Finextra to discuss the AI challenges facing Australian wealth managers, and identify what they can do to deliver a superior, hyper-customised client experience, at scale, through the technology.
3 AI Challenges in Australian Wealth Management and How to Overcome Them
1. Challenge: Lack of AI and Data Governance
In his interview with Finextra, Bailey pointed out the central issue of governance, and as firms take steps to adopt AI, the governance often falls short. Similarly, Australia’s Securities and Investment Commission (ASIC) has sounded the alarm, urging financial firms to ensure their governance practices keep pace with their accelerating adoption of artificial intelligence. ASIC Chair Joe Longo expressed these concerns saying:
"Without appropriate governance, we risk seeing misinformation, unintended discrimination or bias, manipulation of consumer sentiment and data security and privacy failures – all of which has the potential to cause consumer harm and damage to market confidence."
Solution: Leverage a Trusted Knowledge Base and Hybrid AI Approach to Stop “Casual AI”
There are several wealth management AI platforms and solutions on the market, but few tackle the root of the problem: guaranteeing AI reliability, precision, and trust in the information presented. Bailey mentions the importance of having a centralised place, in the form of a Knowledge Base, where the data that powers the intelligence and AI outputs is properly vetted and comes from reliable, trusted, and auditable sources.
The Communify platform has that Knowledge Base, which makes it possible for the use of not only probabilistic but deterministic AI. This hybrid approach to AI gives advisers reliable, consistent outputs that are fully auditable, explainable, and compliance-friendly in high-risk scenarios. These actions are also backed by the Communify P.O.D. Framework (Proof of Dimension), which guarantees that every piece of data used to generate an insight is verified, certified, and traceable back to its compliant source, eliminating the risks of hallucination and algorithmic bias.
2. Challenge: The ‘Black Box Problem’ of AI Bias and Lack of Explainability
A key regulatory hurdle in Australia is the "Black Box" problem, where complex AI models, especially large language models (LLMs), cannot clearly explain why they reached a specific conclusion or shared a specific course of action.
As Bailey illustrates, just "firing up Chat GPT and crossing your fingers and hoping for the best" isn't acceptable.
Blaming AI for hallucinating won’t cut it, and the true risk of a Black Box isn't just a technical glitch; it is client trust erosion and compliance failure. As advisers know, the wrong decisions and recommendations whether due to flawed AI or imprecise information hold serious consequences for a client’s investment portfolio and financial well-being, as well as the trust between adviser and client.
Solution: Deterministic AI and Explainable Narratives
When regulators or clients ask why a system recommended a specific course of action, wealth managers cannot afford to simply shrug and point to a mysterious algorithm. The solution is to reject solutions that rely entirely on high-risk, probabilistic AI and embed trust-certified, deterministic and hybrid AI intelligence.
Communify's MIND ™ AI engine delivers this by turning data complexity into simple, human-readable explanations. It doesn't rely on generalised, external data; it's built entirely on the certified Knowledge Base. This allows the system to generate dynamic portfolio and client stories that are immediately auditable and transparent.
Mentioned before is the power of the Communify P.O.D. Framework, its most critical benefit is addressing this Black Box issue head-on. P.O.D. acts as the traceability engine that certifies every data point used in the narrative. This ensures the why is clear, giving wealth advisers and their firms the ultimate compliance safeguard and turning AI from a regulatory risk into a trusted tool for scaled, high value experiences and ultimately a competitive edge.
3. Challenge: Data Fragmentation and Lack of Empathetic, Meaningful Insights
Wealth management firms globally, including those in Australia, suffer from massive data fragmentation, where client, portfolio, and market data are trapped in siloed, legacy systems. This makes the entire operation feel like a precarious Jenga tower (as one industry report described it), with a failure in one area threatening the whole structure. When systems are disconnected, the operational challenges compound, causing severe friction for AI adoption:
- Operational Gridlock: Advisers are forced to juggle between multiple systems and manually "cut and paste" information, spending excessive amounts of time on low-value administrative tasks instead ofhigh-value client-facing engagement. AI does not operate effectively when its core input requires manual reconciliation.
- Stunted Personalisation: Without a holistic 360-degree client view, which is impossible when data is scattered across CRMs, portfolio systems, and spreadsheets, AI models cannot execute the hyper-personalisation that affluent clients demand. They are starved of the context needed to provide truly meaningful, proactive insights.
- Failed Scale: Fragmented data systems kill the ability to scale. Firms get stuck in the "Pilot Trap," where small, isolated AI projects can never be integrated or rolled out across the entire organization, leading to wasted budget and stalled innovation.
Solution: Unify the Communication of Market and Client Data and Bring Precise Narratives to Life through Storytelling
The only way to tame data fragmentation and transition from disorganisation to organisation and order is through seamless, holistic data integration at the platform level.
The Communify platform delivers this by acting as the central nervous system for your entire practice:
- A Well-Connected Ecosystem: We eliminate the complexity of integration by leveraging our ecosystem of 4,000+ available integrations. This enables the platform to effortlessly pull in, certify, and unify client, portfolio, and third-party market data from virtually every system you currently use, building a single, governed Knowledge Base.
- From Data to Narrative: The Storytelling Edge: Information overload for clients is a real thing. The goal isn't just to see data; it's for advisers to use the data and build a narrative around every aspect of the client’s financial story. Communify’s MIND ™ AI leverages this unified data foundation to instantly generate dynamic and compliant Client, Stock, Fund, and Portfolio Stories. These narratives proactively translate complex market movements into clear, personalised client actions – empowering advisers to become indispensable financial storytellers and stewards for the client. Read more about Stories in our latest press release.
These powerful, AI-driven activities are the critical factors in scaling client service models while consistently delivering superior and hyper-personalised client experiences.
The AI Opportunities and Solutions Are There for Australia’s Wealth Managers
The Australian wealth management market is poised for transformative growth, making the adoption of effective technology, particularly AI, essential for managing scale and meeting evolving client demands. Although advisers face challenges with compliance and fragmented data, the solution lies in a unified platform that directly addresses these barriers.
Communify provides the necessary compliant, scalable, and AI-driven tools that synthesise disparate data into personalised client narratives, empowering advisers to become indispensable financial storytellers. This is the pathway to delivering superior, hyper-personalised client experiences at scale.
If you’re a wealth manager from Australia or elsewhere around the globe, schedule a demo today to see how Communify’s Financial AI platform delivers the precision, insights, and ultimately compliant solutions for your firm.
