Key takeaways

• Tech orchestration matters more than tech accumulation; fragmented technology and poor-quality data remain major barriers to scaling up.
• AI is moving into the operating core: back-office applications are expected to become the leading area of AI deployment.
• Think front-to-back-to-front: operational outcomes should continuously inform the next client or adviser interaction.
• Consider your sourcing approach strategically to accelerate scale: outsourcing can provide specialist capability and absorb complexity when used strategically.
• The ultimate measure is business-oriented: productivity and insight are valuable, but the goal is to turn them into sustainable, profitable growth.

The latest research conducted by Objectway with FT Longitude, based on a survey of 300 senior professionals across the UK, continental Europe, and Canada, suggests that this question is particularly pertinent in the UK.

The UK appears to have a head start on preparing for scalability through record investment in transformation projects. UK firms report greater progress than their European counterparts across core operations, front-office activities, and the adoption of as-a-service models. They also expect to achieve further profitability gains over the next two to three years.

Yet there is a paradox. When considering the impact of investment in technology, innovation and externalisation on revenue, the UK’s performance is weaker than the European average. While 42% of UK respondents report an improvement, 34% report a worsening.

The UK wealth management industry appears to be ahead in building for scale, but has not yet fully translated that investment into revenue growth.

From technology adoption to ecosystem orchestration

Part of the reason for this difference appears to lie in the distinction between adopting and integrating technology.

UK respondents report very positive outcomes from technological investment in operational productivity, customer insight, and data-driven decision-making. 66% report a positive impact, compared with just 14% who report a negative one.

However, these results are often being measured in isolation and not taking end to end processes into account which impact the full client lifecycle and often multiple systems.

As a result, these gains do not necessarily translate into a scalable business model. The main barriers that UK firms identify are data integration, technology fragmentation, and data quality.

This is an important distinction. For example, a firm can introduce an excellent client portal, but its benefits will be limited if the underlying client data is inconsistent. Digital onboarding can become faster for customers while remaining operationally complex if information still has to be re-entered into back-end systems.

Therefore, the next phase of transformation is less about adding another technology layer and more about orchestrating the layers firms already have into an ecosystem.

AI’s next frontier may be behind the adviser

UK data also challenges the assumption that the most important application of AI in wealth management will be in client-facing activities.

Currently, the highest level of AI implementation is in client-facing front-office activities (66%), followed by the back office (62%). However, over the next two to three years, UK firms expect AI adoption in the back office to overtake client-facing applications.

The expected increases are particularly striking:

• Contract and document processing: 46% to 80%
• Compliance monitoring: 56% to 80%;
• Data management: 60% → 88%

These figures indicate where the industry sees the next wave of value. AI is shifting from high-profile experimentation to the processes that underpin the day-to-day operations of wealth managers.

This could significantly impact both productivity and control. Automating document-heavy processes, improving data management, and supporting compliance monitoring can reduce manual effort while helping firms to deal with increasing regulatory and operational complexity.

However, AI is not a substitute for good foundations. AI amplifies the operating model underneath it. Firms with fragmented systems and inconsistent data will struggle to industrialise AI, whereas those with orchestrated processes and reliable data will be better placed to turn AI into measurable business outcomes.

Why front-to-back is becoming front-to-back-to-front

This is also why the traditional distinction between front and back office needs to be reconsidered.

At Objectway’s recent flagship customer conference, OWIN26, participants discussed the concept of moving beyond a linear front-to-back model towards a front-to-back-to-front model. This involves connecting client or adviser interactions with underlying operational processes and bringing the resulting data and insights back to the front to inform subsequent actions.

This may sound like a subtle difference, but it is strategically important.

Consider digital onboarding. While the front office captures information from a prospective client and the back office performs the necessary checks and processes, the journey should not end there. The information generated through that process can inform the adviser, improve the client experience, and support the next interaction.

The same principle applies to portfolio management, compliance, tax and reporting. The output of an operational process can inform and improve the client or adviser experience.

The opportunity lies in making this feedback loop part of the operating model, rather than treating front-office digital experiences and back-office efficiency as separate transformation programmes.

Scaling the back office to improve the client experience

The UK’s investment priorities reinforce this point. Over the next two to three years, firms expect to see substantial increases in client portals, digital onboarding, next-best-action capabilities, and hybrid advisory platforms.

Yet the success of each of these initiatives depends on what happens behind the scenes.

For example, next-best-action requires reliable client and portfolio data. Digital onboarding requires efficient connections between client interactions, compliance processes and operations. Hybrid advice requires information to move seamlessly between digital channels, advisers, and supporting functions.

In other words, the quality of the client experience is increasingly dependent on the quality of the operating model behind it.

Strategic sourcing as a route to scalable growth

The same shift can be seen in the way that UK firms are informing their sourcing strategies.

The areas in which outsourcing is most prevalent are IT infrastructure, business operations, and tax and regulatory reporting. All three of these areas are expected to see further increases in externalisation.

This suggests that outsourcing is evolving beyond a purely cost-reduction measure. For firms seeking scalable growth, selectively externalising activities can provide access to specialist capabilities while allowing internal teams to focus on areas in which they can differentiate themselves.

Indeed, UK respondents identify the outsourcing of back-office operations, alongside improvements in data quality and strengthened compliance capabilities, as being among the most effective strategies for improving scalability.

Therefore, the strategic question is not simply which activities should be outsourced, but which operating model will enable firms to scale.

Turning a UK head start into a competitive advantage

There are several reasons for the UK wealth management industry to be confident. It is already relatively advanced in terms of preparing for scalability, is investing heavily in digital client propositions and automation, and is preparing to integrate AI more deeply into its operations.

However, a head start does not guarantee a lasting advantage.

The next competitive divide will be determined by whether firms can transform these investments into a coherent model in which data flows across the organisation, operational processes support rather than hinder the client experience, external capabilities are used strategically and AI enhances efficient processes.

The challenge for the UK wealth management industry is to make existing and future technology work as an orchestrated ecosystem — from front to back and back to front — to ultimately achieve scalable, profitable growth.

Click here to read the article on The Wealth Net website.