Lending

How to Create an Adoption Plan for Your New Marketing Operating System

5 mins read
December 12, 2019
By
Total Expert

Author: Jim Anderson, CMO at Stearns Lending, LLC

It’s been an exciting time at Stearns Lending since we launched the Total Expert Marketing Operating System® (MOS). While transitioning into any new system comes with pain points, we’ve been bowled over by how user-friendly Total Expert’s platform is. I reached out to their team this week because I wanted to take this opportunity to pause and share a few insights we’ve gleaned from this rollout.

What did we find? Our main observations have been around how positive the adoption process was. Our loan officers (LOs) were working across two platforms before we made the switch, and many of them had experience with the Total Expert MOS from past employment, which is to say that choosing Total Expert set us up for success from the start.

The Total Expert team provided fantastic administrative support through this change, and their advice helped us set up a compelling training series getting our teams up to speed on the MOS. With their expert help, we thought through how we could support our employees during this transition and in future employee onboarding processes. Here are three things you can do to ensure your rollout is a success.

1. Introducing New Technology? Listen to Subject Matter Experts

When we first introduced the MOS, we created as many face-to-face learning opportunities as possible. To do this, we created a series of live webinars and training sessions. Person-to-person interaction is something our LOs excel at – it’s a vital part of their daily work. That made it all the more important to provide information and training to them in a way that worked for them.

The adoption process for a well-designed platform is relatively straightforward, but you do have to empower your team with the opportunity to ask questions of real people. Having experts available was a crucial piece of the introductory process.

One of the main benefits of using the Total Expert MOS is that it’s quite easy to find information using the familiar search functionality within the platform. Of course, our teams still needed support in navigating new workflows and features within the MOS – that’s why we brought in subject matter experts from Total Expert to familiarize our teams with workflows and the range of content available to them.

2. Empower Individuals and Give Them the Resources They Need to Learn

We place a premium on the value of individual growth, and we shaped the adoption process around individual education opportunities in which subject matter experts broke the system down into task-oriented training sessions to help LOs and marketing administrators master specific skills.

Think of it this way: If you needed to replace the headlamp on your SUV, you wouldn’t read the entire vehicle manual. You would seek out the section of the manual that addresses how to disassemble the headlamp and review the instructions for how to replace the bulb.

Learning how to replace that piece of the machine is efficient because it allows you to take on a reasonable, purposeful task that you have a shot at remembering through repetition. This is an apt metaphor for how we approached the adoption process on an individual level.

3. Create Opportunities for Teams to Share Learnings

One of the best strategies for us has been to reinforce the opportunities that exist within the platform and the openings for employees to do continuing education through weekly, regional calls with regional, area, and branch managers.

These calls are already part of our standard operating practice, but they’ve been a great opportunity to feature the knowledge of power users regularly. We’ve also been able to leverage this time to bring in a subject matter expert who can talk about specific wins or tools that are available within the MOS. It’s another chance for these folks to answer employee questions about how to leverage new strategies or features.

This has also been a great way to spark competitiveness within the region. Showing LOs how they can log in more, schedule more weekly social media posts, and make concrete progress is hugely motivating. It’s good for LOs to understand how their counterparts throughout the region or area are leveraging these tools to get wins.

These meetings also serve to tease out new aspects of the platform or new items that have been added. This gets folk to interact with the platform and encourages them to keep deepening their knowledge of all the things they can do within this system.

When Adoption Is the Easy Part, Teams Are Empowered to Win

Convincing our employees to get onboard with Total Expert’s MOS wasn’t exactly an uphill battle. They recognize the power of this operating system, and they’re excited to have the opportunity to improve their workflows.

But for our employees, finishing the initial training is just the beginning. We recognize that we’ll have to continue to evaluate engagement and make sure that new folks have the same access to training as those who were employees at our launch date.

We appreciate that Total Expert’s MOS provides the reporting tools on the back end to establish user accountability, which for us means that we can see how everyone is leveraging the technology. This also enables our managers to reach out to make sure people know how to use the solutions we’re giving them to tackle the challenges ahead.

People learn through repetition, and we’re excited to see our teams continue to gain traction with these new tools in hand. As we move out of the first stage of our adoption plan, we also look forward to creating more opportunities to help our teams engage through this platform.

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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.

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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