Across demographics, age groups, and markets, customers increasingly expect customer services to be simple, intuitive, and easy to use. They don't necessarily care how sophisticated the technology behind the experience is; they expect it to simply work.
That is the case with many industries, but in financial services particularly, Customer Experience (CX) is a major competitive advantage. Customers trust your financial organizations with their money, identity, credit, and often their financial well-being. Therefore, building trust and loyalty is critical to financial services trying to stand out in a very congested market.
An AWS re:Invent 2025 session highlighted several of the tensions shaping the fintech industry:
Financial services organizations need to navigate all four tensions to successfully modernize their customer experience. And while adding AI may sound simple when presented by a technology vendor, 70% of digital transformations fail, according to the same AWS re:Invent session.
Common challenges include over-engineering, resistance to change, and vendor lock-in. These challenges can slow modernization and, more importantly, keep AI initiatives focused on the technology itself rather than the customer and business solution.
On the other hand, the organizations that successfully navigate transformation tend to have three things in common: a clear vision, the right partners, and a phased approach. These principles are what turn an AI initiative from a standalone technology project into a connected, end-to-end solution.
With Amazon Connect Customer and the right CX partner, financial services organizations can introduce AI-powered tools that make customer service more connected, efficient, and personalized while maintaining the security, reliability, and human oversight that financial services require.
We’ve established the three main principles for modernizing your contact center: a clear vision, the right partners, and a phased approach. But what do those principles look like in practice?
For many organizations, transformation can feel like a project you have to figure out as you go. However, taking a trial-and-error approach without a clear strategy can become costly over time, especially when an AI implementation puts customers sensitive information at risk. That’s why working with an experienced CX partner is critical.
The right partner can reduce implementation complexity and allow your teams to stay focused on delivering CX worth remembering. A partner with deep contact center expertise can bring proven strategies and past experiences to help you navigate the technology and processes involved. It all starts with knowing where you want to go.
First, let's start with a clear vision. Before deciding what technology to implement, define what your future customer experience should look like. What should customers be able to do more easily? Where are the biggest points of friction? What should your employees be able to do faster or better? Starting with these business and customer needs keeps the transformation focused on outcomes rather than just on technology.
A clear vision also gives everyone involved a shared destination. When your internal teams and CX partner are aligned on the same goals and use the same transformational language, it becomes easier to make decisions, prioritize investments, and measure whether the transformation is delivering value.
Second, move fast on decisions you can reverse. Not every decision in a transformation requires months of analysis. Some decisions are more difficult and expensive to change later, while others can be tested, adjusted, or rolled back. For these reversible, two-way-door decisions, organizations can experiment in a controlled way, learn from real-world results, and refine their approach as they go.
This mindset helps prevent transformation from getting stuck in endless planning. Instead of trying to design the perfect future state on day one, teams can start small, test new experiences, learn what works, and build on those successes. A phased approach makes this more practical because it lets you start with a focused use case or customer journey, measure the results, and expand from there.
Third, use AI to uncover and eliminate customer friction. AI doesn't have to stop at answering customer questions. It can help organizations understand what is happening across thousands of interactions at a scale that would be difficult to achieve manually.
By analyzing conversations, recurring issues, and the right metrics, AI can help identify where customers are getting stuck and where processes are creating unnecessary friction. Those insights can then inform changes to workflows, products, employee experiences, and the broader customer journey.
When these principles come together, the transformation becomes a deliberate shift in how your contact center operates, how employees support customers, and how customers experience your organization.
Financial services contact centers handle interactions where speed, accuracy, security, and trust all matter at the same time. Modernizing the contact center creates opportunities to improve these critical moments across the customer journey.
Modernizing a financial services contact center isn’t about replacing everything at once or adding AI wherever possible. It’s about creating a clear vision for the customer experience, making thoughtful decisions, and using technology to solve real customer and business challenges.
The right CX partner can turn that vision into an actionable roadmap. Amazon Connect Customer provides the cloud and AI capabilities to support that transformation, while USAN brings 36+ years of contact center expertise and deep AWS knowledge to help organizations make faster decisions and build smarter configurations.
As an Amazon Connect Customer Ready Partner, USAN specializes in implementing and optimizing Amazon Connect Customer. USAN has also helped organizations enhance their environments with AI-powered agent assistance, automated workflows, analytics, and other AI-driven capabilities—helping them continue to evolve their contact centers long after implementation.