AI

Delivering AI Solutions that Drive Real Value in Financial Services

5 mins read
7 min read
August 26, 2025
By
Pete Karns

By Pete Karns, Chief Product Officer, Total Expert

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.

At Total Expert, we’ve taken a different path: thoughtful integration over flashy announcements. As more financial institutions wrestle with what “real AI adoption” should look like, here’s what we’ve learned and what lenders need to consider to get it right.

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.

An industry-focused AI offering will be trained on this specific use case and provided with the context needed to hold a dynamic conversation with the borrower. This type of AI learns and adapts with each interaction, performing the most time-consuming tasks so you don’t have to.    

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.

Lenders don’t need more tools—they need the right tools—ones that work out of the box, understand industry nuances, and deliver immediate, compliant value.

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.

Meet our AI Sales Assistant
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From insights on how lenders are optimizing the technology they already use and adopting best practices to finding new ways to improve efficiency without sacrificing service, the key theme was clear: success comes from building a connected ecosystem where your tools talk to each other and your teams have the right support. If you want to see what’s possible when technology and partnerships align, this is the perfect place to start.

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Change is the one constant in financial services, but the way we respond to it separates the leaders from the pack. The newly signed Homebuyer Privacy Protection Act (HPPA)—taking effect in March 2026—is a shift in how lenders can access and use consumer credit data. However, while some may view this as another regulatory headache, the reality is far more encouraging: it’s an opportunity to raise the bar on trust, transparency, and customer experience.  It’s another validation of our “Customer for Life” strategy.

This isn’t about dodging restrictions. It’s about recognizing that the playbook for winning customers is evolving—and those who embrace that evolution will come out stronger.

What’s changing?

Under the HPPA, credit bureaus can no longer sell a consumer’s credit file unless the lender meets one of a few narrow conditions:

  • Originated the consumer's current mortgage
  • Service the consumer's current mortgage
  • Obtained clear, documented consent from the consumer
  • As a bank or credit union, maintain an active account for that consumer

There’s even a GAO study on the way, examining how trigger-lead solicitations via text messaging impact consumers—a clear sign regulators are watching the fine line between engagement and harassment.

For lenders who have long relied on trigger leads, this represents a fundamental shift. But for institutions that have invested in building relationships the right way, this is good news.

What this means for lenders

The HPPA shuts the door on spray-and-pray solicitation tactics. But it opens the door wider for lenders who want to compete on trust and relationship strength. Specifically, it creates new opportunities to:

  • Deepen existing customer relationships with proactive, personalized engagement.
  • Capture consent earlier in the journey, before borrowers get lost in a flood of noise.
  • Differentiate in a less crowded, more consumer-friendly marketplace where trust is a true competitive advantage.

The lenders who lean in here will win—not because they shouted the loudest, but because they earned the right to stay connected.

Why this isn’t just another regulatory headache

Consumers have been saying it for years: the barrage of calls, texts, and emails after a mortgage application is exhausting. Some borrowers receive 100+ solicitations within 24 hours. That doesn’t build confidence—it erodes it. And we know this is not how our TE customers run their business.

HPPA represents a rare alignment of regulators, consumer advocates, and lenders themselves. It clears away predatory noise, improves the homebuying experience, and rewards lenders who put relationships at the center of their strategy.

As our Founder & CEO Joe Welu often reminds us, “Trust is the currency of modern financial services.” This law is an accelerant for lenders who understand that principle.

How we're going to help you thrive in a post-HPPA world

We’re not sitting on the sidelines waiting to see how this plays out. Our platform was purpose-built to help lenders engage customers in a way that’s personal, compliant, and built to last. Here’s how we’re making sure you’re ready for March 2026:

  • Proactive guidance: Our mortgage and tech experts are already helping lenders adjust monitoring practices, so they stay compliant without losing momentum.
  • Expand Customer Intelligence: We’re finalizing new capabilities to drive increased awareness and enrichment of your relationships, including expanding CI to all three bureaus, and streamlining our credit improvement alert.
  • Investments in consent: Upgraded features coming soon to capture and respect consumer consent in clear, frictionless ways—including through our ecosystem partnerships.

This isn’t a band-aid or a reaction; it’s an evolution of how modern lenders build sustainable engagement to develop customers for life.

Bottom line: this isn’t a roadblock—it’s an opportunity

Every regulatory change comes with friction. But HPPA isn’t just about compliance—it’s about clarity. It’s about stripping away noise and giving lenders who prioritize relationships a stage to shine.

The lenders who thrive in this new environment won’t be the ones chasing trigger leads. They’ll be the ones investing in trusted, personalized engagement—from first touch through every financial milestone.

And that’s exactly what Total Expert was built to help you do: navigate the shifts, build lifelong trust, and continue winning customers for life.

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Authenticity at Scale: Using AI to Deliver Genuine Customer Experiences

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AI has surged from curious novelty to critical business driver faster than any other technology in the digital age. With AI capabilities evolving faster than most financial institutions (FIs) and marketing teams can train for, it’s easy to understand how leveraging AI tools and enterprise solutions effectively can become a frustrating experience for both leadership and marketing pros.

While every organization’s challenges are unique, one common thread is that most FIs lack a clearly defined strategy or framework for selecting, implementing, and using their AI solutions.

Here are three foundational elements to help marketing leaders accelerate AI-enabled customer engagement without losing control of authentic, on-brand customer experiences.

Focus on using AI to scale—not replace—your team

The AI revolution arrives with ironic timing for FIs: We’ve spent the last decade talking about how to bring back the human touch in a digital-first world. On the surface, it’s easy to think that AI will push us in the opposite direction—breeding more generic, cold, impersonal experiences.

But like other tech tools, the most immediate and significant value will come in using AI as a tool to scale your team’s capabilities. What does that look like in practice?

  • Automating or offloading the tedious and repetitive work your team does: Think about AI agents cold-calling for lead gen, doing time-consuming data analysis, or handling the orchestration of complicated, multi-touch, multi-channel, anything-but-linear customer journeys.
  • Unlocking deeper insights, faster: AI can dive into your customer data to find new kinds of intent signals in real time. Imagine identifying those key periods of transition or change in peoples’ lives—graduating, getting married, starting a family, changing careers, retiring—so your team can show up for customers at these critical moments.
  • Freeing up more time for human connections: At the simplest level, AI applied well will allow your team to do more with less—and that will give them more time to focus on where and how to provide that human touch and make those genuine one-to-one engagements. This is what we’ve been doing at Total Expert for more than a decade now through better analytics and smarter automation. AI just turbocharges everything.

Choose the right AI—and connect it to your core systems

Not even three years after ChatGPT opened this AI era, there are thousands of AI tools on the market—including hundreds of marketing-specific AI solutions. Don’t be fooled by the “they’re all the same under the hood” line—the packaging is critical to the usability and time-to-value with these tools, especially when it comes to delivering authentic experiences.

It’s really a classic Goldilocks problem: On one side of the spectrum, the big-name generalist AI platforms that claim to do everything produce generic experiences for your customers. They’re not built for the highly regulated, highly sensitive kinds of engagement and conversations that FIs have with their customers. Plus, it takes a lot of work—and time and money—to get them to work like you need them to.

On the other side of the spectrum are hyper-specialized AI apps built to do one very specific task right out of the box—but lacking the broader capabilities to connect with your core systems and orchestrate entire experiences. This kind of extremely focused functionality ends up creating maddening experiences for customers when they hit the limitations of the tools’ knowledge and capabilities. FIs need AI tools built with enterprise-grade, enterprise-wide capabilities—able to tie into your marketing system of record so they can see and orchestrate the full customer journey.

If you can solve that Goldilocks problem — finding an AI solution built for financial services and connecting it at the core of your CX — you can realize the full efficiencies and, more importantly, deliver a more genuine, helpful, brand-authentic experience.

Give your AI the inputs that set it up for success

Using GenAI to create content — copy, design, video, etc. — really can feel like magic. But the reality is that it’s inherently derivative. In other words, the outputs are only as good as the inputs — like the classic analytics adage: garbage in, garbage out.

If you want to maintain brand authenticity, create reliably compliant outputs, and deliver consistent experiences that feel seamless for your customers, you need to help the AI fully understands your brand, your engagement strategy, and your acute and big-picture objectives.

Best practices for prompt engineering is an article—or an entire book—in itself. But the point is, as incredible as AI is, it’s still a tool — and a tool requires a skilled, intentional user. Cultivating these skills also takes intention. Workers in any role can feel naturally hesitant to be open about their AI use and experimentation; they don’t want to risk looking lazy or replaceable. But to move forward effectively with AI, FIs need to build a culture that encourages that experimentation and sharing of new use cases and best practices.

AI as an engine for authenticity

There’s little doubt that AI will lead to a surge in impersonal, generic banking experiences. That’s not a condemnation of AI; it will be the result of FIs using generic AI tools and generic AI strategies.

That also means that genuine, personalized experiences will become even more differentiated in this incredibly competitive industry. The key is to focus on how to use AI to amplify what we’ve always strived to do in this industry: make real connections and build authentic relationships based on trust.

By focusing on these three principles — using AI to help your team focus on scaling human connections, choosing the right tool and integrating it deeply, and giving your AI the best possible inputs — you’re building a strategy that makes AI an engine for authenticity. The reward isn't just increased efficiency; it's the ability to deliver authentic, brand-consistent experiences at a scale never before possible.

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