Compliance

Understanding and Abiding by Regulations Meant to Protect Consumers

5 mins read
October 11, 2017
By
Total Expert

Regulations are in place to ensure consumers understand they are interacting with marketing when they look at advertisements – and consumers expect that marketing is clear, true and not deceptive in any way, shape or form. Consumers also need to understand what the advertisement is telling them about your mortgage loans in regards to availability, rates, etc.

Overview of the Regulations

  • UDAAP (Unfair, Deceptive, or Abusive Acts or Practices) or UDAP (Unfair or Deceptive Acts or Practices): Most prosecutions for lender advertising fall under UDAAP/UDAP, which generally regulates whether the advertisement is clear, concise, and can be read and understood by the least sophisticated of the recipients of the marketing material.  
  • Truth in Lending: Truth in Lending laws and regulations address required disclosures in advertisements for certain types of credit, among other things. There are “trigger terms,” such as “monthly payments” and “interest rates” that require additional disclosures. Required disclosures need to be on all marketing materials, including but not limited to digital, social media and print media.

When loan officers (LOs) and branch managers participate in “rogue marketing” where they are sending out marketing materials without compliance approval, we tend to see violations of UDAAP/UDAP and Truth in Lending laws. In cases of “rogue marketing,” lenders must train, educate and discipline (if necessary) their LOs and branch managers because the potential liability is “spectacular,” according to Mitch Kider, Managing Partner at Weiner, Brodsky, Kider PC.

According to Kider, it is critical to have a centralized compliance review of marketing materials to ensure the requirements of UDAAP/UDAP and Truth in Lending laws are met. Your compliance department needs to be able to review and approve all marketing materials before anything goes out the door.

Related: “The Dangers of Rogue Marketing to Your Mortgage Brand

Understanding the Current Regulatory Environment

There is a general consensus that the current presidential administration is in a deregulatory mode, and lenders may have hoped that there would be less regulation and enforcement. Instead though, lenders are facing enforcement from more directions, outlined below:  

The Consumer Financial Protection Bureau (CFPB)

The CFPB can enforce UDAAP/UDAP, however they are limited in scope – when they initiate an investigation, it can take two to three years before we see the results of the investigation and enforcement action. One example is the current Zillow investigation, which began in 2015.  

How many lenders and Realtors have been advertising on Zillow since 2015, knew nothing about the CFPB investigation and thought Zillow was fine for their marketing efforts?  

The Federal Trade Commission

The Federal Trade Commission has always had a UDAAP/UDAP law and they prosecute as well.  

State Regulations

In addition, virtually every state has their own form of a UDAAP/UDAP law. Especially in states controlled by the Democratic Party, state banking departments and State Attorneys General are becoming much more vigilant in examining lender marketing materials. Most states are fairly aggressive when it comes to consumer protection.  

Key Focus Areas of Regulators

Three main areas of focus among regulators are:  

  • Fair Lending: The Equal Credit Opportunity Act (ECOA) and the Fair Housing Act (FHA) are in place to protect consumers from unfair or discriminatory lending practices.  
  • Co-Marketing and RESPA: Especially when looking at marketing and advertising, regulators want to know why an LO is co-marketing with someone who is referring business to them. Co-marketing is absolutely legal and permissible if you’re doing it correctly.  
  • UDAAP/UDAP and unfair or deceptive trade practice claims: Regulators are looking at this more so than ever before.  

On a federal level, change comes slowly, but it will come. There will always be consumer protection laws, but they may lessen. Kider predicts lenders will continue to see state regulators and State Attorneys General be very aggressive for a couple potential reasons:  

  • There are some lenders that may be hoping regulations are going away and want a competitive advantage, so Kider sees some things happening that are problematic under the law. Regulators are potentially worried about the perception that regulation enforcement is decreasing and so they are cracking down.  
  • The reality is that most State Attorneys General are elected officials (only some are appointed by the Governor), and going after a mortgage banker or bank makes for great headlines and campaign fodder.  

Lenders may feel they spend significant time and money abiding by burdensome regulations. But it is important to keep in mind that these regulations are meant to protect consumers – individuals and families working hard to save money and buy their dream home. As your organization works to provide the best possible experience for borrowers and homebuyers, this also means strict adherence to regulator policies meant to protect these individuals.

Related: “Best Practices for Managing Marking Compliance at the Enterprise Level

Understanding the current regulatory environment, the purpose of various laws and key areas of focus by regulators will help your organization engage with consumers and co-market with your partners in compliant ways while still growing your brand at the community level.

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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.

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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