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Financial Technology Top Trends

  • May 4
  • 3 min read

By Keith Brannan, CEO Tria Prima


As someone who has worked closely with financial executive leaders, I’ve seen firsthand how technology is redefining the banking landscape. The pressure to accelerate digital transformation is mounting, and the next few years will be pivotal in determining market share and profitability. To stay ahead, financial institutions need to rethink how they manage data, engage with customers, and adapt to evolving digital trends. 


Here are the three key technology trends I see shaping the future of banking by the end of 2026—and how you can prepare your institution to thrive. 


Creating a Unified Customer View is Non-Negotiable 

One of the biggest challenges financial institutions face is creating a unified view of their customers. Right now, many rely on their core processors to manage the ledger, but what about the data beyond that? Pulling together household, purchase, and psychographic data is still incredibly complex. Transaction codes often resemble encrypted strings rather than actionable insights, making personalized marketing nearly impossible. 


To gain a clear picture of your customers, you need to integrate data across multiple sources—credit cards, mortgages, demographics, and more. This is especially difficult on the commercial side, where business data can vary dramatically between industries. 


If you’re hoping that a large language model (LLM) or some other AI tool will magically clean up your messy data, let me save you some time: it won’t...at least not yet. AI tools rely entirely on good data to function effectively. Think of our Core Processor data. Most of the field labels are gibberish and without a clear data dictionary made by someone who actually knows the data, the AI will only generate more results based on not understanding the data.  Gibberish in...Gibberish out.  


My advice? Start small. Pick one use case, like targeted marketing, to build a better customer view. Once you see results, expand your efforts. 


The Purchase Journey Has Changed for Good 


The way consumers approach buying has shifted completely. Years ago, potential customers would visit your website, read blogs, compare products, and learn about your brand. That’s no longer the case. Today, consumers rely on LLMs and other AI tools to gather information before they even land on your homepage. 


Because of this, website visitors now arrive with a much higher intent. They’ve already done their research, and they’re coming to you for specific answers. This shift means you need to rethink your digital experience.  


My advice? Your website can no longer be an unintelligent series of pages meant to be a catch-all where the consumer figures out what they need—it must immediately meet the needs of these informed visitors. Adapting to this behavioral change will help you optimize costs and improve customer acquisition strategies. 


AI Search Demands Total Brand Transparency 


Search is no longer just about keywords; it’s becoming conversational. When someone asks an AI, “Which local bank offers the best business loan rates?” the LLM strives to provide a definitive answer, drawing from historical data and personalization. 


But here’s the catch—LLMs can get it wrong. If an AI misquotes a competitor’s rate as your own, it creates a bad customer experience when users realize the information doesn’t match. And who do they blame? You. 


My advice? Transparency is key. Publish your rates, product details, and pricing clearly on your website. If you’re not owning your digital narrative, an AI will write it for you—and that can be a risky proposition. By maintaining an accurate digital presence, you protect your reputation and strengthen customer trust. 


Prepare Your Leadership for the Future 


Adapting to these trends isn’t optional—it’s essential for protecting profit margins and staying compliant in an increasingly competitive market. By investing in a unified data strategy, understanding the changing buyer journey, and prioritizing transparency, financial institutions can position themselves for long-term success. 


Where to start? If you’re unsure where to begin, start by evaluating your current data infrastructure. Choose one specific use case and commit to it. Small, strategic steps now will lay the foundation for thriving in 2026 and beyond. 


The future of banking is being shaped today—are you ready? 

 
 
 
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