Compliance

Avoid Regulatory Repercussions with Proper Lead Management

5 mins read
September 5, 2017
By
Total Expert

“There is a reasonable possibility that a loss may be incurred; however, the possible loss or range of loss is not estimable.”

That ominous line is taken directly from Zillow’s quarterly report on form 10-Q for the three months ending June 30, 2017 where the company disclosed that it has been under investigation by the Consumer Financial Protection Bureau (CFPB). Zillow holds firm to a belief that its “acts and practices are lawful,” but an invitation from a watchdog agency to discuss a possible settlement along with a warning that further action will be taken if one is not reached is a blatant indication that regulators believe they have a strong case.  

Ordinary, reputable mortgage and real estate entities are aware of Real Estate Settlement Procedures Act (RESPA) and CFPB guidelines, and certainly try to avoid committing violations, but it’s dangerous to think that only large targets with deep pockets like Zillow are at risk. Whether or not it’s proven that Zillow violated Section 8 of RESPA and Section 1036 of the Consumer Financial Protection Act (CFPA) as a result of the investigation that began in 2015, companies of all sizes should be concerned about the outcome because it centers around the most fundamental element of all real estate and mortgage transactions: Leads.  

Zillow’s predicament began with inquiries into the company’s Premier Agent and Premier Lenders programs. The inquiry extended beyond the obvious questions as to whether or not advertising costs were shared equally and according to the law into whether or not an improper endorsement was offered or implied and spread further into even murkier territory that questioned whether or not there was equal, consistent access for all parties to purchased leads.  

Regulatory compliance was far less complicated for lenders and Realtors before real estate became digitized. The massive role the internet plays in the home shopping process provides as many opportunities to run afoul of the law as it does to grow your business.

How to Safely Engage in Co-Marketing

Some may view co-marketing as merely a last resort for loan officers and Realtors to engage in partnerships after marketing service agreements and methods of the past have been deemed questionable or completely illegal. Mortgage companies and compliance departments should be leery of arrangements between their loan officers and Realtors or any other professionals to align and engage in business development activities when it involves financial expenditures. But co-marketing is a powerful way to build brands and market a custom, boutique consumer experience for home buyers and sellers. It’s possible to deploy and manage co-marketing effectively, legally and profitably. Here’s how to engage – safely:

  • Disclose relationships and document activity. The appearance of multiple lenders near a Realtor’s photo, listing and other information left a lot unclear to consumers browsing on Zillow’s site. Regulators likely wanted to know whether or not the featured loan officers paid the appropriate portion of the cost for the impression, and there was no verbiage explaining what the relationship was between a featured agent and the MLOs shown to the public. Furthermore, it’s impossible to know – and track – if each party had equal access to any potential borrowers who submitted an inquiry for more information to any of the parties. Zillow has since added language that states that neither Zillow or agents endorse Premier Lenders that appear – presumably as a result of the CFPB investigation.  
  • Consolidate all leads from all sources into a centralized system. Zillow isn’t the only lead engine that can lead MLOs, Realtors and their companies into dicey territory. Other portals such as TigerLead, Kunversion, BoomTown and Commissions, Inc. can also present problems if there’s a lack of clarity and proper tracking of how leads are acquired, captured and shared. Your customer relationship management (CRM) system should be robust and provide the ability to house, sort and manage leads so it’s clear where they came from, who gets notified when they come in, when all parties have access and archive all marketing sent to consumers.
  • Evaluate and audit your current systems. Ask yourself these questions about your systems:
    • Does your company have a centralized system of record for all lead sources and marketing communications?  
    • Does your compliance department or designated manager have the ability to act as a “final step of approval” for all co-marketing your MLOs engage in?
    • Do you have the ability to view, verify and prove that co-marketing expenses are shared proportionately according to the law?

If you answered “no” to any of these questions, your organization could be at risk for regulatory scrutiny – or worse. When done lawfully, co-marketing builds and strengthens key industry partnerships and benefits the public.

The Zillow Affect

The Zillow situation isn’t just a warning for mortgage companies and real estate brokerages; loan officers and Realtors alike must be more vigilant about their marketing activities. The Zillow situation could open the door to more action taken against individuals that may not make stunning headlines like the $1.85M Wells Fargo settlement, but which will still be damaging – if not devastating – to careers and companies. It could also be argued that CFPB scrutiny is contagious if we discover that the co-marketing program involved in what led to Prospect Mortgage’s $3.5-million dollar fine earlier this year was Zillow’s. The CFPB order didn’t name Zillow in the Prospect matter, but described a portal and quoted language that Zillow and other sites use on their lead forms. In addition to the necessary disclosure in its second quarter filing, Zillow gave investors some encouraging words:  

“Although we cannot be certain of the outcome of any such litigation or claims, nor the amount of damages and exposure that we could incur, we currently believe that the final disposition of such matters will not have a material effect on our business, financial position, results of operations or cash flow.”

Zillow is not concerned about its business, financial position or cash flow. Can you afford not to be?

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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.

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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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