Customer Engagement

Four Things That Will Set You Apart from Your Competitors

5 mins read
November 7, 2018
By
Total Expert

Digital transformation is changing the elements that give your organization a competitive edge in an age of unprecedented change: your people, your processes, your technology and your brand.

Your People

With low unemployment rates and a dwindling labor-force participation rate – the share of workers who are employed or searching for work – organizations are struggling to find quality, qualified people.

Yet, as the industry struggles with thinner profit margins, recruiting and retaining A-level talent is increasingly important to an organization’s growth and continued survival.

Even in a challenging market, it’s possible to level up on talent – and even turn it into a competitive advantage – without breaking the proverbial bank. Doing so, however, requires creative thinking.

Hire for values, train for skills. “The best fit” doesn’t always mean “the most qualifications.” The best people are the ones that demonstrate a strong interest and ability to learn and fit well with the values and culture of your organization.

Your Processes

Inefficient processes will cripple your organization. However, by driving transformation efforts through process-centric digital technologies, companies can transform their operations to be more nimble, efficient and competitive.

There are process improvements to be made in every functional area of your business. It’s about being mindful and focusing on small, incremental changes you can make to reduce manual tasks and improve the customer experience over a pre-determined period of time.

We recommend focusing on data integration, automated workflows and approvals and analytics as possible starting points.

Your Technology

Level up your technology. You don’t necessarily need new technology, but improve the way you are using your existing technology. Ensure your tech stack works together so you can fully leverage all the components.

Make your tech stack – and getting the most out of your tech stack – a priority for your company.

As Sue Woodard, chief customer officer at Total Expert says often, “Technology won’t replace the producer, but the producer who isn’t using technology will be replaced by the one who is.” Your tech stack alone may not be a competitive differentiator, but not having a competitive tech stack will put you at a disadvantage.

You can’t be efficient without technology.

Your Brand

How do your customers feel when they interact with your brand at every touchpoint?

As more powerful, efficient technology becomes readily available, it’s not only easier for new service providers to enter and crowd the market, the provision of those services is often easier, faster and cheaper.

So, how do you adapt your offerings to stand out amidst a sea of competitors without sacrificing revenue? Your brand.

In the end, customers win when you can adapt your offerings to continue to meet evolving needs and heightened consumer expectations. People love to do business with brands they love.

So, stand out.

Understand the value you bring to your customer. Figure out how they feel when they first interact with your company and at every touchpoint after that. Determine how your brand resonates with your target customer. Then, leverage your newfound insights to build your brand from the outside in so you can add value in creative ways that will generate genuine excitement and enthusiasm for your brand.

Don’t focus on marketing a product. Focus on marketing the American dream and how you will help people achieve their goals of buying a home or starting a business.

Keys to Success in Today’s Market

What set you apart five years ago is no longer enough. Surviving – thriving – depends on your ability to serve your customers in a way that is unique, authentic and memorable. However, you can’t do that if your organization isn’t firing on all cylinders.

Join Total Expert Founder and CEO Joe Welu for another episode of Expert Strategies, where he explores the opportunities and potential destruction of companies that fail to level up technology, people, processes and the ability to innovate.

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From incubating leads and mining databases to nurturing post-close relationships, Joe shares how voice AI is giving loan officers “superpowers” that help scale productivity, improve retention, and focus on delivering the high-value advice consumers need most. With compliance guardrails built in and multiple AI agents on the horizon, this episode offers an inside look at the future of mortgage lending and why early adopters of AI will hold a major competitive edge.

Joe also explains why the human element remains central to homeownership, and how AI is designed not to replace loan officers, but to free them up for more meaningful conversations that strengthen customer trust and drive long-term loyalty.

Catch the conversation to hear how AI is revolutionizing lending and why Joe believes those who embrace it will be tomorrow’s market leaders.

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Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

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Delivering AI Solutions that Drive Real Value in Financial Services

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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.

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