AI tools alone won’t deliver better advice outcomes
The advice and wealth management industry is moving quickly to adopt AI. Every week seems to bring yet another tool promising faster onboarding, quicker reporting or more efficient client servicing.
The excitement is understandable – the pressure to improve productivity, reduce costs and meet ever rising client expectations is growing – and all within a tough regulatory environment.
It’s true that early AI adoption is already creating genuine efficiency gains across advice and wealth management. People can save time, reduce admin and streamline parts of the servicing process. But these first AI successes are largely operational: faster note taking, quicker document handling, more efficient reporting, structured data extraction.
The fact remains that there is a difference between making processes more efficient and delivering better client outcomes. A client will rarely judge a firm on how efficient their internal processes are. Instead, they will judge them on whether they feel understood, supported and looked after over time.
For advisers, this is where I believe the bigger AI opportunity may sit.
Client circumstances do not change once a year. Their lives change constantly between review meetings - jobs change, families grow, confidence ebbs and flows and, as we all know well, vulnerability can appear from nowhere. Some of these changes are obvious, others can be missed until much further down the line.
Often the signals are already there - a client stops responding, communication patterns change, documents stop being reviewed, information gets updated. Or perhaps, questions become more cautious or more urgent. Individually, these changes may seem small but over time, they can reveal a great deal about what might be happening in a client’s life.
Historically, the focus has mainly been on structured financial data: assets, income, risk profiles, portfolio values. But increasingly, some of the most valuable insights may sit in the signals created through ongoing client engagement and behaviour. And this is where AI becomes much more powerful.
It’s a given that AI on its own can only work with the information directly in front of it. The quality of any output rests heavily on the quality and depth of context given. My point being, if AI is only used to process isolated tasks, the results will naturally remain narrow - faster workflows, faster administration and faster reporting.
However, if AI is combined with connected technology and ongoing client engagement and broader relationship insight, the opportunity can potentially become far greater. The sum becomes greater than its parts.
For advisers, the biggest long-term gains from AI are likely to come from understanding clients more clearly over time. How often do they interact? What information they are viewing? What questions are they asking? Are communication patterns changing? Do clients appear confident, uncertain or disengaged?
This is where AI begins to move beyond efficiency alone.
Not because it will replace advisers or wealth managers, but because it helps to build a richer understanding of the relationships sitting at the heart of their business.
Insight that is valuable in building an engaged, responsive and proactive service.
The value of financial advice remains deeply human. Trust, reassurance, judgement and empathy cannot simply be automated away. Most clients are looking for adviser relationships that feel real – that are more responsive, more entwined and relevant to their lives.
Used well, AI should strengthen those relationships, not sit outside them. Potentially, it can help advisers identify when a client may need support before they ask for it. It can help firms spot disengagement, highlight important changes or reveal opportunities for more timely conversations.
And, increasingly, regulation is starting to push firms in this direction too.
The FCA has been looking closely at ongoing advice services and whether clients are genuinely receiving value over time. More recently, it has consulted on moving away from fixed annual suitability reviews towards a more flexible approach based on client needs and circumstances.
Consumer Duty further reinforces this. Firms are now expected to demonstrate that clients are being supported appropriately over time, whether communication is effective and whether changing circumstances are being identified early enough. That becomes much harder when client information is inconsistent or disconnected across different systems.
There’s no doubt AI is already making many parts of advice and wealth management more efficient. But the real value may come from helping advisers and wealth managers understand clients more clearly over time, not simply by completing tasks faster. But that will only really work when technology, data and client engagement are properly connected.
Understandably, the industry has spent much of the early AI conversation focused on efficiency. The next challenge is understanding how technology can help firms stay closer to clients as their needs and circumstances change.
In the end, clients remember relationships, not processes. If AI only speeds up the administration around those relationships, the industry may miss out on where the long-term value really sits.
This article is part 1 of Tessa Lee’s 3 part series featured in Professional Adviser. To read the full article, click here.
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This article is from an original piece by Tessa Lee, published on Professional Adviser.
You can read the full original article here.