To build, bolt-on, or buy? Navigating critical choices in banking customer experience

By Rahul Kumar
0 min read

Lead with value or get left behind—there’s no middle ground in financial services. The intense competition, consolidation, and high customer expectations are pushing the boundaries of what was once considered possible and placing financial services firms under pressure to deliver more value to consumers.
At the same time, firms must navigate high regulatory burdens, increasing risks, budget scrutiny, and the complexity of managing diverse customer needs. These challenges, often push banks to adopt a product-focused approach, rather than a customer-centered one that prioritizes the customer experience. As a result, banks often find themselves with systems that are not designed to deliver the dynamic, seamless experiences today’s consumers expect.
The industry is grappling with a fundamental challenge—how to pivot from rigid, legacy systems to more agile, customer-oriented models that put the consumer experience front and center. Every firm has embarked on this journey but with varying results. While some have succeeded in aligning innovation with customer value, others are still struggling to find the right strategy.
Revamping customer experience comes with its own set of strategic challenges: should banks build a custom CX solution, buy an integrated platform, or add targeted tools to improve specific areas? Getting this decision right is crucial. Delivering exceptional customer experiences while balancing security, compliance, and operational efficiency demands a careful approach. The key question is: which strategy—build, buy, or bolt on—offers the best path forward, given the resources and long-term goals of the banking institution? In this article I describe the unique advantages and challenges of each option, focusing particularly on how AI is reshaping banking CX.
Build: Control at a cost.
Building an in-house customer experience system is particularly appealing to institutions with unique business models and custom infrastructure that require deep integration. A custom solution ensures the bank meets its requirements without compromising on critical functionality. A tailored CX platform integrates with the bank’s operations, enabling greater control over how data is managed, secured, and governed. This level of control is crucial in financial services, where regulatory compliance is rigid, and data security is a top priority.
In addition to the technology, building such a system demands a significant investment in specialized talent. It requires a team of data scientists, software engineers, AI experts, and system architects—skills that are in high demand and expensive to recruit. Additionally, keeping this talent can be challenging in a competitive market. Beyond the initial build, maintaining, updating, and ensuring compliance as markets evolve becomes a constant burden on internal teams.
A key question is how AI, which is fundamental to modern CX, will be integrated and maintained. Do banks have the in-house expertise to train, refine, and adapt AI models as the business and customer expectations evolve?
Building an in-house CX system offers maximum control and customization, but comes with heavy resource demands. Banks must carefully assess whether they have the capacity to manage this long-term, especially as AI integration becomes more critical and complex. Balancing the desire for a tailored solution with the realities of maintaining it will be key to determining if this is the right path.

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