Banking

New Report: Banking Leaders Reveal Biggest Challenges to Upgrading CX

5 mins read
December 1, 2021
By
Total Expert

There’s no doubt the pandemic drove massive — in some cases, permanent — changes in borrower and depositor behaviors. And all of it solidified customer experience’s (CX’s) role as a determining factor in whether a financial institution can secure — then retain and grow — relationships with depositors and borrowers better than its peers.

But developing a differentiated experience for financial institution customers and members requires smart, strategic, data-informed decisions, not random experimentation or guesswork. And, as many have learned, throwing money at the problem doesn’t usually deliver the best — or sustainable — results.

So what makes a bank or credit union better at CX? How mature are banks and credit unions at CX? What have other financial institutions learned in pursuing better CX? What banking products are creating revenue from CX upgrades?  

That’s what Total Expert wanted to find out in its 2021 Customer Experience Maturity Model survey. The results offer financial institutions important insights based on the firsthand experience of their peers.

KEY FINDINGS

Organizations recognize the CX imperative.

Survey results show financial institutions invest in a strategic mix of people, processes, and technology to support CX: 80% implement new technologies, 73% add new processes and procedures, 51% work with outside vendors to improve their CX, and 48% add new team roles to support the CX function.

But when Total Expert segmented survey responses according to CX maturity, implementation of new technologies persisted as the most common investment as CX matures while the popularity of other methods come and go.

The limited use of personalization poses a huge opportunity.

Today’s fickle, pandemic-weary consumers want more than simple, personalized salutations from their financial institutions. They expect to be proactively alerted about the products, services, and offers that meet their unique needs — without being inundated with marketing messages that bear no relevance to their personal profile or circumstance.

Unfortunately, Total Expert’s survey showed more than half of respondents still don’t achieve this basic level of personalization — 28% generally send the same messaging to all customers, while 34% attempt rudimentary personalization by manually segmenting data that originates from multiple sources.

When survey responses were segmented according to CX maturity, however, it became clear that the most mature institutions do indeed leverage connected data to send highly personalized communication to customers.

Institutions in higher stages of maturity prioritize strategies that generate revenue.

Banks and credit unions today have a wider array of customer engagement strategies they can deploy thanks to their expanding online portfolios.

While preliminary results found nearly equal usage of the customer engagement strategies listed in Total Expert’s survey, financial institutions with more mature CX appear to favor customer engagement strategies that deliver revenue growth (e.g. low debit/credit card transaction volume, low mobile banking usage, low online banking usage, and online application abandonment).

KEY LEARNINGS

Three key learnings emerged from Total Expert’s survey results — learnings financial marketers can apply to improve and advance their institution’s own CX.

The Race Toward Humanization

Institutions are making organization-wide investments — staff, process, consultants,and technology – to improve CX. Time to deployment will define winners and losers because organizations that excel at experience tend to retain borrowers and depositors.

Building a CRM and customer engagement platform from scratch is not advisable when speed determines the value of upgrading CX capabilities.

Lay the Groundwork for Scale

Banking institutions across all CX maturity levels still suffer some level of limited data access, manual data segmentation efforts, and an inability to send relevant, custom messages to customers.

Without the right technology, every new milestone reached in segmentation and personalization comes more manual work, especially when it comes to maintaining contact data. Identify tactics to reduce inefficiencies caused by the manual work – data manipulation, custom email drafting, compliance management – that bogs down both

retail personnel and marketing teams.

Found CX Upgrades on Increasing Retail Banking Revenue

Our survey shows that respondents in the highest CX maturity stages prioritize customer engagement strategies that generate revenue.

Marketing and Retail Banking leaders should include increased debit card and credit card revenue in their business planning and reporting on CX upgrades.

Want to learn what other insights or firsthand knowledge banks and credit unions shared in Total Expert’s report? Read “Customer Experience Maturity for Financial Institutions.”

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AI is no longer a future state—it’s already here, embedded in everything from ride-sharing apps and food service to factories and farms. In the world of financial services, though, this ubiquity comes with pressure to integrate AI fast, appear innovative, and keep up with competitors—all while being mindful of evolving federal and state compliance requirements. Moving fast without a plan or awareness of up and downstream implications often leads to AI-enabled solutions that either underdeliver or don’t deliver at all.

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Where enterprise AI goes wrong

Too many financial services leaders have experienced what I call “AI failure to launch (and scale).” They’ve rushed to try unintegrated AI-enable offerings and bolt on AI tools—often generalist chatbots, white-labeled versions of generative tools, and/or hooking up to MCP servers—without a clear sense of how these tools will solve their business problems or add potential risk. The result? The occasional value-add result. However, what we see more is poor user adoption, wasted spend, and limited impact.

This is the same trap we saw with “digital transformation” a decade ago, or the original horizontal SaaS applications that evolved or were replaced by vertical-specific solutions. AI-enabled solutions offer tremendous, generational promise but they risk becoming vanity-first, value-later tools. We are focused on the former.

AI that thinks and adapts: Welcome to agentic AI

Let’s make one thing clear: not all AI is created equal.  

Chatbots have been commonplace in financial services for a decade now, but remain rigid, rule-based tools that handle repetitive tasks.  I’ve worked with “AI” services for more than 15 years and each had their own place and potential when used properly. Herein lies the opportunity. Modern lenders that are focused on retaining and growing their customers in an ultra-competitive market need something more dynamic. Enter AI agents that can understand context, adapt on the fly, and speak in a human-like way. These agents are coachable, brand-aware, and learn from every interaction. They don’t follow scripts—they think in real time. And when built correctly, they become a seamless part of your customer experience.

This is the evolution from AI as a support function to AI as a trusted team member.

Total Expert recently launched an AI Sales Assistant that puts this principle into action. It functions as a scalable, intelligent teammate—able to engage leads, deliver personalized conversations, and identify high-potential opportunities—all while staying aligned with your brand voice and compliance requirements. It’s not a chatbot bolted onto a CRM—it’s a fully integrated AI-enabled solution, utilizing data, embedding within workflow orchestration, and playing nice with application logic because it has the necessary context to work within your lending ecosystem.

The real “why” behind AI adoption

Before choosing any AI solution, or any technology solution, financial services firms must ask themselves: What business problem are we solving?

For example, when mortgage rates dropped for a few weeks in September 2024, our customer intelligence capabilities identified nearly $2 billion in immediate refinance opportunities. But no team of loan officers could scale quickly enough to reach every qualified lead. That’s where AI tools prove invaluable—automating first-touch outreach at scale, surfacing the best opportunities, and empowering human teams to scale up execution to drive retention and growth.

Why embedded beats bolted-on

The types of AI-enabled solutions we are talking about can’t function effectively in isolation. Without access to timely and accurate customer data, and invoked within a specific workflow process, it can’t personalize interactions, anticipate needs, or drive conversions at the right time.

Picture an AI assistant offering a refinance to a customer, only to stall when asked for more details. If it doesn’t know the customer’s current rate or financial profile, the experience feels hollow. That’s not just ineffective—it damages trust.

By contrast, when AI-enabled solutions are embedded within a unified customer experience platform like Total Expert, it draws on a 360-degree view of the customer. It knows the data, understands the history, and delivers contextually rich conversations that convert.

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Generalist AI offerings can be a gamble that increase costs—and time to value

Implementing AI that’s not purpose-built for financial services introduces two major risks:

1. Usability failure: Your team must spend months customizing and configuring a generalist AI tool to make it work for your specific needs—if it will ever work at all. For example, imagine you’re a loan officer and one of your referral partners introduces you to a borrower. Now, you have to choose the best way to approach the first conversation with this borrower. There are countless permutations of questions and answers which all require deep personalization, compliance awareness, and consistent representation of the sales processes and brand tone of the lender. Generalist AIs will quickly reach their limitations in these complex use cases.

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2. Compliance risk: Without built-in industry guardrails, you’re gambling with regulatory violations and brand safety.  As we know, the compliance landscape for financial services is broad and evolving at the federal and state level.  Look for AI offerings that are regulatory aware and enable you to configure them based on your organization’s risk tolerance and interpretations.

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Ask these questions before you commit to an AI offering  

To maximize the probability of success, here’s a quick checklist for vetting solutions:

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  • Can it be deeply integrated into your core system(s), workflow orchestration, and data?
  • Does it include financial industry compliance and brand guardrails?
  • Can it scale without sacrificing quality or regulatory integrity?

Building the future with purpose-built AI

Total Expert has always designed technology with financial services in mind, and our approach to utilizing AI is no different. We’re not chasing hype. We’re solving problems.

Our focus on AI isn’t simply building standalone features—it’s about embedded, intelligent, and deeply integrated AI solutions. It’s helping lenders scale smarter, engage more meaningfully, and turn data into action. Our AI Sales Assistant is just the beginning—an example of how purpose-built, AI-enabled solutions can solve real problems and deliver tangible value. We are already testing and exploring other AI-enabled solutions and I could not be more excited about the current and potential value our clients and our market will achieve.

Because when AI works, it’s not just impressive—it’s indispensable.

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