Is AI-driven personalisation the next frontier for retail financial services?

For decades, banks and insurance firms have operated on the broad segmentation model, grouping customers by age and income, but stopping there. This model is rapidly being replaced by AI, which is enabling something far more powerful; true personalisation at scale.

At its core, AI-driven personalisation is about relevance. Using transactional, behavioural, and contextual data, it aims to understand individual customers, offering them meaningful interactions in return. For financial services (FS) firms this provides deeper engagement, improved LTV (long-term value) of the customers, greater brand loyalty, and ultimately, stronger commercial performance.

How is AI being used by FS organisations?

One of the most visible shifts AI has brought about is around how FS organisations recommend financial products. Rather than pushing generic offers for example, AI gives these organisations the ability to tailor propositions to individual needs. A customer showing signs of rising disposable income might receive targeted savings and investment recommendations, while someone exhibiting signs of financial distress could be guided towards support tools or more suitable credit cards. This moves the industry away from product-centric selling to customer-led engagement.

Equally transformative is the concept of “next best action.” AI models can continuously analyse customer behaviour, predict what should happen next and subsequently offer better tailored guidance to the customer. Whether that’s increasing pension contributions, remortgaging, consolidating debt, or simply nudging a customer to save more regularly. This creates a more proactive relationship, where banks and insurance firms can act as partners in financial wellbeing rather than acting as a passive service providers.  Although the "one bank for life" model has been dead for a generation, I cannot help but wonder if the move to AI will resurrect it.

Personalisation also extends into everyday interactions. Conversational AI is reshaping customer service, moving beyond static chatbots to intelligent digital assistants that understand context and history.  Customers can now ask nuanced questions like, “can I afford to go on holiday this summer?”, and receive responses grounded in their own financial reality. This is not just more convenient; it builds trust, both in the brand, and potentially the industry more broadly.

Tapping into under-utilised data

In parallel, AI is unlocking value from data that previously lay dormant and unutilised. Transactional data can now be transformed into personalised insights: identifying spending patterns, highlighting opportunities to save, or flagging unusual activity. For customers, this translates into greater transparency and control, and for organisations, it’s creating a more meaningful and differentiated customer experience.

The implications are particularly strong in like verticals like insurance and wealth management. Behaviour-based pricing models, for example, are enabling insurance firms to tailor premiums based on real-world data, whether that’s driving habits or health activity. In wealth, AI-powered portfolio management is allowing firms to align investment strategies more closely with individual risk appetite and life goals, that can be dynamically adjusted over time. The foundations were laid in black boxes in cars, and health tracking, but we can now do it real time and at a level of detail like never before. 

Perhaps most importantly, AI is enabling firms to anticipate key life events. Changes in spending patterns or account activity can indicate milestones such as moving home, starting a family, or changing jobs. This creates opportunities to engage customers at precisely the right moment, with highly relevant advice and products.

What challenges does this shift bring?

This shift is not without its challenges. Delivering truly personalised experiences at scale requires far more than advanced technology alone; it demands a strong foundation of data governance, robust security controls, and clear ethical frameworks that place customer interests at the centre of every decision. FS organisations must ensure that the data used to power personalised recommendations is accurate, relevant, and managed responsibly throughout its lifecycle. Equally important is the ability to demonstrate compliance with an increasingly complex regulatory landscape, where transparency, accountability, and fair outcomes are under greater scrutiny than ever before.

Trust will ultimately determine the success of this new era of personalisation. Customers need confidence that their data is being handled securely and that the insights generated are designed to deliver genuine value rather than simply drive product sales. Organisations must be transparent about how data is collected, analysed, and used, providing clear explanations that are easy for customers to understand. When businesses strike the right balance between innovation, privacy, and transparency, personalisation becomes more than a competitive differentiator. It becomes a powerful mechanism for strengthening customer relationships, improving financial wellbeing, and creating experiences that feel genuinely relevant, timely, and human.

Who’s leading this customer service revolution?

For leaders in FS industries, the message couldn’t be clearer: AI-driven personalisation is no longer a “nice to have”, it’s quickly becoming a competitive necessity. Organisations that choose to invest in the right data foundations, technology platforms, and operating models will be best positioned to lead this revolution in customer service. 

At Softcat, we see this as more than a technology conversation. It’s about enabling a fundamental shift in how FS organisations engage with their customers, moving from superficial transactions to deep relationships, and from generic journeys to deeply personalised experiences.

If you’d like to find out more about how Softcat can support your organisation through this journey, please visit our dedicated Retail Banking hub.