AI and the Future Client Experience in Wealth Management

The Evolution of the Wealth Management Client Experience

The client experience for clients of wealth managers today is a stark contrast to the experience that existed pre-RDR. The changes were largely a reaction to the removal of commissions, but they also reflected a well-intentioned effort by an industry determined to become a profession.

The prevailing wisdom at the time advised that building a client-centric model, with regular touch points to keep clients informed of progress towards their goals, was the key to long-term client relationships It also happened to be a commercially attractive model for firms to follow.

The broader industry provided a protective moat of inconvenience around this model. Administration was slightly too cumbersome for most clients to willingly endure alone, products and tax allowances were slightly too complex for many to want to commit the time to fully understand it, and regulation was sufficiently demanding that if the upfront risk warnings didn’t deter prospective clients, the pages of documentation often would.

As a result, the time-poor and financially motivated segment of the population found a solution in the shape of the post-RDR wealth manager and their client-centric service model.

What Do Clients Really Want?

Service or Outcomes?

Confirmation bias runs deep in all of us and, unsurprisingly, if you ask almost anyone in wealth management they will tell you clients want service.

Industry surveys typically reinforce this view, with service regularly appearing amongst the most important factors for clients

But what if clients actually wanted something different?

A 2024 report from Royal London and The Lang Cat took a slightly different approach and highlighted investment performance as one of the most important priorities for clients.

That is understandable. Most clients invest with a financial goal in mind and investment returns above cash or inflation are often critical to achieving those objectives. It is therefore reasonable to conclude that clients value investment performance because it directly supports their financial ambitions.

What Clients Actually Need

Following that logic, one could also argue that clients value good service because it enables them to monitor progress towards their goals and adjust their plans without having to navigate the industry’s moat of inconvenience.

The conclusion is an interesting one.

When clients say they want service, and when they say they want strong investment performance, they may actually be describing what they need within the current wealth management model rather than what they inherently value most.

In a world where technology underwhelms and cannot help clients bridge the industry’s administrative and informational barriers, the human relationship remains essential. The question is whether that remains true as AI’s footprint grows.

Arrested Development Decades of technological advancement largely bypassed the wealth management industry. FinTech delivered major breakthroughs across financial services, but a closer look at WealthTech could leave you wondering whether much of the development stopped when the dot-com bubble burst. Even the industry’s later digitisation efforts failed to leave a meaningful impact. The moat of inconvenience remained intact and human-led service continued to dominate.

The Digitisation That Wasn’t

Banking Got Easier

Banking digitisation solved real problems. Branch closures created challenges that technology addressed successfully. Online banking evolved into mobile apps, and the convenience available to consumers increased dramatically as functionality expanded.

Wealth Management Didn’t

The wealth management industry spent the last decade ‘digitising’ the client experience through portals, apps, digital fact finds, often with minimal impact. Digitisation was frequently less about enhancing the client experience and more about reallocating tasks from wealth managers to their clients.

Checking balances and accessing documents delivered some benefits, but many of those gains were offset by clients being expected to complete more administrative tasks themselves. Much of the value created came from operational efficiency for firms rather than genuine innovation for clients.

AI changes all of this. The protective moat of inconvenience is beginning to disappear, creating both opportunity and risk for wealth managers. Firms can choose to participate in this transformation or risk becoming increasingly irrelevant.

AI and Wealth Management 4.0

The phrase ‘this time it’s different’ is often viewed with scepticism. In many situations, rightly so. However, there is a strong argument that this time genuinely is different. AI has the potential to finally bridge the industry’s moat of inconvenience and radically alter the client experience.

We have observed that the industry is embracing AI enthusiastically, but much of the early focus is predictable and wrong:

• Reducing administrative burden
• Streamlining workflows
• Improving productivity
• Driving operational efficiency

These initiatives undoubtedly create value, but they also risk repeating the mistakes of digitisation. If AI is used primarily to make firms faster at doing what they already do, it becomes another version of what could be described as selfish efficiency – a cost reduction programme dressed up as transformation.

The problem for wealth managers following this approach is that AI has already removed many of the industries historic frictions, it gives clients the power to do more with ease. In a world where information is instantly accessible, the moat of inconvenience no longer protects the traditional service model it exposes it.

AI Enables a More Relevant Client Experience

The opportunity is not just to automate admin, but to redesign the whole relationship between wealth managers and clients.

Under Wealth Management 4.0, wealth managers can use AI to gather, normalise and analyse client data, translate that information into insight and deliver timely, relevant prompts that keep clients informed and engaged.

The client experience shifts from a high-touch model to a high-relevance model, with personalised content, alerts, scenario testing and next best actions that reflect the client’s goals, risks and circumstances.

Rather than competing with technology, advisers are elevated by it. Human expertise becomes increasingly focused on the moments that are technically complex, emotionally difficult or simply hard to navigate alone.

The Wealth Manager 4.0 remains continually connected to the client, not through more meetings, but through greater relevance. AI provides the 24/7 layer: monitoring, interpretation, explanation, nudges, and personalised education across the channels clients already use. The adviser provides the high-trust layer: accountability, conviction, and calm.

The Future Client Experience

The future client experience is not about replacing relationships. It is about delivering value more effectively.

AI creates the opportunity to transform wealth management from an ongoing service model protected by the moat of inconvenience into a continual value model that adapts to provide clients with what they actually need.

Firms that seize this opportunity can convert efficiency into relationship value, improve client outcomes, reduce costs and deliver more personalised support. Firms that do not may struggle as historic barriers continue to disappear.

The Risk of Complacency

We believe humans will continue to play an important role in advising clients at important times, but this is not a given. Clients already trust AI with some of their most personal thoughts and problems. Over one in three people now use AI for mental health support. These are not simple queries, but emotional conversations about anxiety, relationships and grief.

Unsurprisingly usage is higher amongst younger cohorts, many of whom represent the next generation of wealth management clients. However, a significant number of people aged over 55 are also turning to chatbots. What drives client loyalty is changing fundamentally, and many of the assumptions that have underpinned wealth management for decades are coming under increasing pressure.

The challenge for firms is not simply understanding how AI can improve efficiency. It is understanding how AI may reshape client expectations, behaviours and ultimately the relationships on which the industry has been built.