Banking

Modern Banking: Anticipate, Educate & Advise to Cultivate Customers for Life

5 mins read
April 9, 2019
By
Total Expert

Although consumers can find just about anything they need with a simple Google search, seventy-eight percent of retail bank customers still prefer to receive financial guidance from their local branch. Yet, the reality is only twenty-eight percent of Americans are receiving the advice they so desperately desire.

The financial services sector has started its shift back from a transaction-focused model to the customer-centric model of the good old days. In the new era of humanized marketing, technology plays a huge role in the daily interactions financial services professionals have with their database.

Don’t worry, technology won’t replace the relationship manager (loan officer, personal banker, etc.), but a relationship manager who is leveraging technology to add real value will replace the one who is not. That’s because there’s still one thing technology can’t replace: the value that comes from having a trusted advisor to guide and protect your customers’ financial future.

Let’s take a look at the three strategies today’s financial services professionals need to adopt to achieve lasting success in the world of modern financial services.

Anticipate

What will make your brand stand out? Anticipating the needs of their customers.

With the right technology in place, relationship managers can leverage customer-specific data from their Marketing Operating System (MOS) to deploy personalized communications at a local level via relationship managers. This messaging should be based around life events, such as when a customer opens a new account, applies for a car loan or has a baby.

When customers feel like you truly value them and know what’s happening in their life – and provide advice based on this information – relationship managers can build a foundation of trust to turn a one-time transaction into a lifelong advisory relationship.

Ensuring your customer-facing teams are empowered to send the right message to the right person at the right time, sets apart organizations who anticipate their customers’ needs from those who actually proactively act on this information.

Many financial services organizations engage with customers in their own business line silos – for example, the mortgage team doesn’t know how the wealth management team is engaging with the same customers. This means the organization fails to fully know this customer, their life stage and applicable products and services to meet their evolving needs. Thus the bank’s engagement with this customer feels clunky and the customer has a poor experience – and in today’s market, a lackluster customer experience is not an option.

Educate

Today’s consumer craves knowledge and information, making education-centric content and engagement around various financial products to help them achieve their life goals (buying their dream home, opening a business, etc.) very important.

It’s critical to turn your database insights into action. If you know your customers well enough to be able to anticipate their needs, but never proactively reach out to consult with them about their financial future, you are missing the mark.

The phrase “one-size-fits-all” can be true in a lot of scenarios. But when it comes to educating customers on what’s best for them based on their personal life events, one size certainly does not fit all.

This is where your relationship managers come in. Your customers are looking to you to tell them what products and services they need to be financially secure now and in the future.

Despite the push towards digitization and online banking, studies show that consumers still want advice from their bank. Forty-one percent of consumers are looking for investment-related advice and thirty-nine percent are seeking retirement-related advice.

What’s more? Eighty-nine percent of consumers who did receive financial advice found it valuable. This presents a huge opportunity to fill this gap, expand customer relationships and grow the bottom line.

Advise

Among consumers who receive financial advice, eighty-nine percent of them become repeat customers. Customers don’t just want this advice from a professional – they value it. Once you’ve anticipated your customers’ needs and educated them on their options around one life event, it’s critical to continue to advise them into the future.

Consumers engage in financial transactions or buy various financial products to coincide with their life events – and many are dependent on relationship managers to break down complex financial transactions and advise them around the best decisions for them and their families. By continually delivering information specific to their evolving life events, you become the trusted advisor they turn to again and again.

Anticipating, educating and advising your customers is cyclical – and nearly impossible without leveraging an MOS that houses powerful customer data combined with robust intelligent automation.

Conclusion

The modern consumer will be won or lost based on how well your organization anticipates, educates and advises them around the intersection of their current life events and complex financial transactions to meet their evolving needs.

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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.

This is why we’re designing our AI capabilities with a focus on the unique needs of financial services organizations. The same purpose-built approach has earned the Total Expert platform its unmatched reputation for usability and time to value.

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:

  • Can it solve a real, high-value business problem, and how? Review specific examples and ask to speak with other organizations that have implemented the tool.
  • Does it function as a true AI agent, not a static bot?
  • 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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