Feature Articles The AI Readiness Gap

The technology is moving fast, and client expectations are shifting almost as rapidly. Regulation, understandably, is evolving more slowly. Advice firms are being asked to make significant strategic decisions before the long-term governance framework for AI has settled, however that uncertainty should not be a reason to wait.

The firms best positioned over the next decade won’t necessarily be those deploying the most AI. They’ll be the ones building the foundations required to adopt it safely, confidently and at scale. The conversation is gradually moving beyond adoption and towards readiness, because readiness will ultimately determine how much value a firm can actually capture.

Governance as an enabler

One of the more interesting developments in financial services is that governance is starting to look less like a brake on innovation and more like what makes it possible.

As boards and executive teams evaluate AI, much of the discussion understandably gravitates to new capabilities. The more practical and often harder question is whether organisations have the operational foundations required to support those capabilities. Data quality, governance frameworks, control environments, auditability and education are not separate problems to be solved later, they are part of the same problem.

Financial advice has always run on accountability. Every recommendation, every client outcome and every decision has to be explainable and defensible. That obligation doesn’t soften in an AI-enabled environment, if anything, it gets harder.

Firms should already be working through the practical questions. If an AI-assisted process influences a client outcome, who is accountable for that outcome? If a regulator asks how a decision was reached, can the firm demonstrate the steps involved? And if governance expectations tighten in the years ahead – which they will – do today’s processes stand up to scrutiny?

The regulatory framework will keep evolving, but the principles that underpin advice won’t. Clients, regulators and stakeholders will still expect transparency, oversight and accountability.

AI exposes complexity, it doesn't hide it

There's a temptation to treat AI as something you bolt onto the business as it already is. That's a mistake.

Many wealth businesses still operate across multiple systems, fragmented data sources and manual processes that have evolved over many years. AI will not necessarily solve those issues, more often, it will expose them. Firms that simplify their operating models, remove unnecessary complexity and build more consistency across their data and workflows will be better placed to take advantage of the opportunities ahead.

The long-term winners may not be those with the most sophisticated AI strategy on paper. They’ll be the ones that have simplified their technology, cleaned up their data and established the governance required to move faster as the market evolves.

The future still has humans in it.

The debate around AI often gravitates towards automation, but the more important question is what becomes more valuable as automation increases.

The advice profession exists because clients face decisions that require judgement, context and experience. Technology can widen access to information, reduce administrative burden and streamline repeatable tasks, but it cannot replace trust, nuanced decision-making or the ability to guide a client through uncertainty. In fact, those qualities will become more important.

Australia already faces a significant advice gap, demand outstrips the industry's capacity to supply it. Used appropriately, AI has the potential to increase adviser capacity, allowing professionals to spend less time on process and more time on client relationships, strategic thinking and complex problem solving.

Client expectations will rise over the decade ahead. Investors will expect faster service, more personalised experiences and easier access to information. Meeting those expectations will require both technology and trust.

The question for advice leaders is no longer whether AI will become part of their business, that is increasingly inevitable. The real challenge is ensuring the business is ready for what follows.

Firms that simplify complexity, strengthen governance and invest in capability today will be better placed to adapt as technology, regulation and client expectations continue to evolve.

Success may ultimately have less to do with AI itself and more to do with the foundations beneath it. The firms best positioned for the future will be those that use technology to remove friction from the advice process and create more capacity for the human aspects of advice: judgement, trusted guidance and better decision-making.