AI

AI Revolution: From “Discovering Fire” to Real Business Outcomes

5 mins read
5 min read
August 12, 2025
By
Joe Welu

Best Practices for Executive Teams Deploying AI in Financial Services

The rise of large language models and agentic AI is the most transformative technological shift of our lifetimes. But history has shown us how quickly transformation hype can outpace practical value.

Think about the “revolutionary” innovations from the past 20 years. Everyone scrambled to be an early adopter—but too often, they prioritized novelty over purpose. Today, the same story is playing out with AI. It’s like humanity just discovered fire, and everyone’s racing to see what they can ignite without understanding why.

As I meet with CEOs and executive teams from leading mortgage lenders and financial institutions, the conversation has shifted from “What can AI do?” to “How do we deploy AI responsibly, at speed, and with measurable impact?”

Most AI strategies are failing

A recent HFS Research report found that financial institutions plan to increase AI spending by 25% in 2025, with AI now representing 16% of total tech budgets. But bigger budgets aren’t fixing the real problem: most institutions are investing in AI without a clear path to value.

The report also revealed that most AI strategy is being driven by IT, not by business leaders or the C-suite. And the top goal? “Productivity.” Which translates to automation—not transformation.

This approach leads to predictable results:

  • 80% of AI projects fail to deliver value
  • 42% of companies have abandoned their AI initiatives altogether

I believe these AI strategy false starts are the result of financial institutions failing to ask the right questions from the start:

  • What real business problem are we solving?
  • How will we test, iterate, and measure AI initiative performance?
  • How does this improve customer experience, compliance, or revenue?

I've distilled these key questions and my conversations with leaders at the institutions getting the most from their AI initiatives today into the following best practices:

Anchor AI strategies to business goals

Tie every AI initiative to a clear business priority—whether it’s loan growth, customer retention, or operational efficiency.

Define KPIs, ROI targets, and adoption metrics before a project begins. No project should exist without a measurable path to value.

Start with the outcome you need, not the AI tool you want

The first step isn’t choosing a tool—it’s identifying the problem you need it to help solve.

When you begin with a business objective like expanding customer engagement, increasing loan volume, or improving retention, you can align your AI strategy with measurable outcomes. Otherwise, you’re investing in tech for tech’s sake.

Real example: When mortgage rates briefly dipped in September 2024, the Total Expert platform surfaced nearly $2 billion in refinance opportunities for our customers. But no human team can act on insights like that at scale. Our AI Sales Assistant enables personalized, timely outreach at scale—converting fleeting market shifts into new business.

Focus first on areas where a proof of concept or pilot is feasible within 30-60 days. Document classification, predictive churn modeling, or intelligent lead scoring are easy places to start, and those early wins build momentum, prove ROI, and prepare teams for more complex deployments.

Choose an AI solution that’s built for financial services

The reason so many financial institutions are frustrated is that they chose the wrong AI solution for their needs and industry.

Generic, horizontal AI platforms may work well in other industries, but they often fail in financial services—lacking the context, compliance, and data integration required. On the other hand, niche AI tools built for a specific function can’t scale to support financial teams.

Your AI solutions must be purpose-built for financial services and designed to scale at an enterprise level.

When vetting AI tools and solutions, ensure that they:

  • Are compliance-ready (audit logs, consent, disclosure protocols)
  • Have enterprise-grade security (end-to-end encryption, identity verification)
  • Can scale quickly without compromising performance
  • Will give you complete control over the outputs—you should never wonder what your AI might say to a customer.

To achieve scale and ROI, your AI solution must plug into your existing infrastructure—CRM, LOS, core banking systems, and customer data lakes.

Avoid building “AI silos” that require duplicating data or retooling your workflows. Instead, look for modular, API-driven architectures that extend what you already have.

Invest in data quality, governance, and compliance early

Your AI solutions will only be as good as the data you feed it.

Start by creating a single source of truth for customer and loan data. Then, anticipate obstacles to deploying AI with your data, such as consumer consent and preference management, and start addressing these things ASAP. Investing in tools like Customer Intelligence will help enrich your data and increase its value.  

Regulations such the Gramm-Leach-Bliley Act (GLBA), TCPA (Telephone Consumer Protection Act), and UDAP (Unfair, Deceptive, or Abusive Acts or Practices) will be a few key areas where regulators dig in and look for companies cutting corners.

Think outside the chatbot box

Most people have interacted with a chatbot—and been frustrated by one.

That’s because traditional bots are scripted and rigid. They follow linear yes/no workflows. They can’t handle nuance, adapt to real-time questions, or navigate a human-level conversation.

Agentic AI is different. It learns from each interaction a develops the ability to shift topics, handle objections, gather missing information, and determine when the conversation needs to be handed back to a human on your team—will full context provided.

Unlike a chatbot, agentic AI knows each customer’s history, preferences, and financial situation, so it can have a two-way, brand-aligned conversation that feels human. That’s what creates trust, builds relationships, and drives revenue.

Train, educate, and empower your people

The most successful institutions are creating cross-functional AI task forces that give product, compliance, operations, customer experience, and data teams a seat at the proverbial table. They aren’t launching siloed pilots that only impact individual teams—they’re embedding AI into core workflows from the start.

This also means investing in change management and AI literacy—so that frontline teams understand, trust, and adopt the tools you’re giving them.

Choose the right tech partners: favor vertical specialists

Partner with vendors who understand financial services—especially your unique customer journeys or workflows. Deep domain understanding of core systems, database schemas, compliance, and other nuances will be a key factor in the results you achieve.

Benefits of vertical-focused partners:

  • Deep understand of unique data sets and customer profiles
  • Faster implementation with industry-specific models
  • Built-in regulatory and risk controls
  • Product roadmaps aligned to lending and banking trends

Horizontal AI tools have their place, but without deep domain expertise, they often require heavy internal customization and a slower time to value.

The future is here

I understand the urgency and pressure financial institutions are feeling to get their AI initiatives off the ground. Every day you delay, competitors are building up their capabilities, and you will struggle to catch up. As one of my investors put it bluntly, “Every day you fail to execute a comprehensive AI strategy, the value of your business goes down.”  

But action without strategy leads to frustration.

To successfully launch and expand your AI initiatives, you need:

  1. A clearly defined business outcome for AI to support
  1. A purpose-built, enterprise-ready AI solution
  1. A cross-functional AI strategy that lays out your path to real value

When all that is in place, agentic AI won’t just optimize your business—it will open entirely new pathways for growth, scale, and customer connection. That’s how you move from buzzwords to business results.

To learn more about how Total Expert is working with our customers on high-impact AI initiatives, please reach out to our team.

Meet our AI Sales Assistant
Resources

Related posts

AI

AI Isn’t the Future of Lending. It’s the Present.

mins read
Read more

If you still view artificial intelligence as some unrealized, head-in-the-clouds, “I’ll believe it when I see it” concept, you’re already behind the times. That's exactly what we discussed on a recent episode of Lykken on Lending, where our own Mike Russell (Director of Product Integrations and Innovation at Total Expert) and Assurance Financial's Jessica Thames (Director of Marketing) sat down with David Lykken to explore how AI is already reshaping the way lenders engage with borrowers, manage outreach, and scale their business without sacrificing the human connection at the heart of the industry.  

For many loan officers, the idea of letting an AI talk to their customers understandably raises some eyebrows. After all, how is a machine supposed to replicate (or even replace) the kind of conversation that people have with a trusted professional? But as our conversation demonstrates, that’s not the goal of mortgage-specific AI tools. Instead of replacing loan officers, tools like Total Expert’s AI Sales Assistant empower them to focus on what humans do best: build relationships, provide guidance, and help customers make important financial decisions with confidence.  

Part of our conversation focused on the evolution from generic chatbots to AI-enabled automated outreach. Where chatbots followed a rigid script and were confined to specific “yes/no” or “if this, then that” workflows, AI-enabled assistants are able to engage in more dynamic conversations, react to unscripted questions or challenges, and become an extension of a lending team. For example, by leveraging data from Total Expert Customer Intelligence, our AI Sales Assistant can act on intent signals like credit improvement, rate drops, or equity thresholds that might otherwise go untouched. Loan officers can only make so many phone calls or emails in a given week, but an AI Sales Assistant can engage multiple opportunities simultaneously and won’t get discouraged if they don’t get an immediate response.  

Perhaps the most compelling part of the conversation came from the real success stories shared. Mike explained how early pilots showed real results within weeks, transforming difficult-to-convert leads into appointments that a loan officer could close, without manually dialing dozens of times. Jessica also highlighted how being freed from low-value tasks allowed her team to concentrate on delivering meaningful borrower interactions — and that this shift is fundamentally what AI should be about.

David, Mike, and Jessica also tackled the elephant in the room: the fear of AI replacing people. Rather than seeing AI as a threat, both Mike and Jessica frame it as a force multiplier that enhances productivity, enriches human jobs, and lets loan officers do more in less time. Mortgage professionals already use automated tools for things like email sequences or text triggers, but AI can’t replace our ability to empathize with a borrower who has credit challenges or a homeowner who needs a HELOC to help pay for urgent repairs. AI can only help you show up for more customers in the moments that matter.

The episode also dives into practical considerations like compliance, data quality, and best practices for implementation by giving listeners a grounded understanding of not just why AI matters, but how to make it work in real mortgage environments.

Catch the conversation

Technology

Reflections on Accelerate 2025: Aiming at a New Necessary

mins read
Read more

What a week. I walked into this industry ten months ago with fresh eyes, full of respect for the impact this industry has on people’s lives. After spending time with our clients and partners at Accelerate—during sessions, hallway conversations, and yes, even at the parties—that respect has deepened. This isn’t just an industry. This is a community of passionate, talented people who don’t simply originate loans or manage portfolios, they create life-changing opportunities for millions. You care deeply about doing this work, and I’m grateful to be building alongside you.

But here’s the thing: we’re at a turning point. What got us here, the strategies that helped us retain and grow in the past, are no longer good enough. You might say it is necessary, but not sufficient, and the cost of waiting is higher than the cost of change. The forces reshaping our industry aren’t on the horizon; they’re sitting at the table. AI technologies, increasingly complex compliance, mergers and acquisitions, shifting consumer demands. It’s not a question of whether we’ll adapt, it’s whether we’re adapting fast enough.  

That’s why, at Accelerate, Joe and I introduced the concept of the “new necessary” as part of our Aim Higher conference theme. Staying relevant (and competitive) requires more than awareness, automation, or clever content. It requires deep, enterprise-ready context that powers systems of intelligence and action. Systems where originators and AI work together in sync—always on, highly consistent, endlessly scalable. Your feedback, and the results we’ve seen so far, tell me we’re on the right track. And. Have a lot to do!

Throughout the conference, I spoke about four pillars of focus: Strengthening the Foundation, Customer IQ, Lead Management, and AI. Here’s a quick tour.

Strengthening the Foundation

This year, we doubled down on the foundation of Total Expert: improving core capabilities, enhancing performance, expanding our ecosystem, evolving user experience. At Accelerate, we demonstrated real progress: faster email delivery, more tools to utilize SMS, automated marketing packages, Sales Manager Dashboards, and new integrations. That’s great progress. More is necessary. We are on it!    

Customer IQ

Agentic AI enables business value when it’s fueled by rich, accurate, and timely context.  The insights and enrichment from Customer Intelligence is necessary and drives great business outcomes. However, more is needed to take full advantage of what’s possible with AI Agents acting as high-performing members of your team rather than wasting time and money on bland generic agents operating with limited context.

That’s why we announced Customer IQ. We are deepening our commitment to dramatically increase context across four dimensions; enrichment and insights, consent, contact/customer information, and relationship history.  As an early example, in December we’ll be releasing new capabilities to enable the collection and aggregation of consent from multiple systems directly into Total Expert. That means our AI Sales Assistant can instantly understand consent and act on it- accurately and efficiently. More context expansions are already queued up for 2026.

Lead Management: Reimagined

We’re launching the first release of our revamped Lead Management in February. This isn’t just a tune-up; it’s a rebuild. From lead ingestion and routing policies to loan officer workflows, admin tools, journey orchestration, and analytics—this release sets the stage for what’s coming next. And it’s just the beginning. Stay tuned for more updates soon.

Agentic AI and AI Services

At Accelerate, we showcased real results from the AI Sales Assistant. Four use cases are live today, and we’re handling millions of calls each month. This volume has accelerated performance most importantly, customer results. With the right combination of context, industry expertise, and integrations into business processes, we’ve unlocked a recipe for success. We’re continuing to expand on this, with exciting new use cases on the horizon.

We also shared our vision on Agentic Management, or the “control tower,” and our early work on AI services like Natural Language Interfaces. These are key to driving more intelligence, more automation, and better user experiences across the platform. A good example of this is the demo of the natural-language data interface, which was a personal highlight for me as a preview of the seamless, intuitive future we’re working toward.

Why this Matters

Our mission is simple: help you retain and grow. How? By enabling you to execute the perfect customer journey, fueled by context, driven consistently by orchestrated journeys, executed by both humans and intelligent agents working in harmony, with a virtuous feedback loop. Always on and enterprise-grade.    

This is the new necessary.  

I’m incredibly fired up about our vision, our momentum, our roadmap, and the amazing work we get to do alongside our clients, partners, and teammates. At the end of the day, it’s not about the technology. It’s about the business value it enables. The customers who are leaning into what we’re building are becoming more competitive. Those that aren’t risk falling behind.

I hope that Accelerate, this post, and our community give you the inspiration and insights you need to chart your next steps toward the new necessary—the why, the how, and the when.  

Thank you, as always, for your feedback, your drive, and your partnership. Let’s keep moving toward the perfect customer journey!

Pete

Mortgage

Smaller Lenders, Bigger Impact: Using Data to Deepen Personal Relationships

mins read
Read more

Forming authentic relationships has always been the competitive edge for smaller lenders. And as the FinServ world has become more tech-driven and digital-first, credit unions and community banks have only leaned further into this powerful differentiator. But we’re seeing an interesting trend among some of the most successful small- to mid-market lenders: They’re recognizing that tech-enabled engagement is no longer mutually exclusive to genuine human connections. They’ve created powerful data-driven strategies that make it easier for them to build good, old-fashioned personal relationships.

These forward-thinking lenders are realizing that their smaller size is actually an advantage in implementing “big data” tools and strategies. We’re seeing credit unions and community banks deploy Total Expert Customer Intelligence in a matter of weeks and start realizing value in as little as 90 days, building a loyalty- and revenue-generating engine that fuels itself.

But how are they doing it in a financial landscape where consumers have more choices and competitors aren’t just in the building across the street?

Even close borrower relationships are growing more complex

Small- to mid-market lenders have been historically hesitant to embrace tech-powered, data-driven strategies because there was a concern that it would dehumanize their connections with borrowers. Which is understandable as community banks and credit unions have built their brands and their reputations on their ability to forge honest, transparent relationships—getting to know their customers and members in ways bigger lenders could only dream of.

But even those 1:1 borrower connections are now digital-first, multi-channel relationships. Those increasingly complex relationships involve exponentially more data, information, preferences, and intent signals. A common concern we hear among smaller lenders runs along the lines of, “We don’t have enough data for a ‘Big Data’ strategy.” But the truth is that even the smallest credit unions and community banks are swimming (and sometimes drowning) in a pool of tremendously valuable data.

Borrowers expect to feel “known” across every channel; they want the same feeling of 1:1 personalization at every touchpoint. And it’s becoming a genuine challenge for smaller lenders to juggle all the information and orchestrate these hyper-personalized omnichannel experiences.

Using Customer Intelligence + marketing automation to enhance personal borrower relationships

More and more credit unions and community banks are turning to data-driven, tech-enabled strategies to complement—not replace—their personal relationships with borrowers. We’ve seen smaller lenders have tremendous success with Customer Intelligence and our dynamic, automated Journeys because they:

  • Surface intent signals in real time: Customer Intelligence surfaces critical intent signals as they happen, giving LOs the superpower of knowing what borrowers and homeowners need when they need it.
  • Highlight life events as critical engagement opportunities: Customer Intelligence helps smaller lenders go beyond traditional intent signals, recognizing key life events or milestones (graduating, getting married, starting a family, changing careers, retiring, etc.) that signal shifting financial goals and new borrowing needs. This gives your LOs natural opportunities to reach out with helpful, personalized guidance.
  • Enable personalized outreach at scale and speed: Credit unions and community banks are using Total Expert Journeys and other automation capabilities to help their LOs stay on top of all of these valuable Customer Intelligence signals. Built-in triggers and automated Journeys enable LOs to magically engage at just the right time—across their full roster of customers and prospects.

Smaller lenders are leveraging Total Expert’s digital toolset to help them show up for borrowers when it matters most—across every and all channels—to give them the feeling they want most: a trusted financial advisor who understands their financial needs and goals, providing proactive support and guidance to help deliver the best possible outcome.

Measuring time-to-value in weeks, not years

Another major misconception among credit unions and community banks is that they don’t have the resources to manage this kind of automated, Customer Intelligence-powered strategy.  

It’s true that smaller lenders likely don’t have large internal teams of data analysts (if any). But Total Expert has led the charge in democratizing access to leading-edge data analytics tools and capabilities. We’ve designed Customer Intelligence and Journeys to be easy to deploy and quick and intuitive to set up.

The smaller size of most credit unions and community banks works to their advantage here. We consistently see these customers go live and start seeing measurable value with Customer Intelligence in as little as eight weeks because they’re able to implement, build, test, and launch faster than larger lenders that have more layers of reviews and approvals.

Smaller lenders driving big value: Customer Intelligence case studies

Dart Bank

  • Customer Intelligence in action: Dart Bank uses Customer Intelligence to surface life events and intent signals in real time, enabling LOs to engage members with proactive, personalized support across channels.
  • Driving measurable value: In just six months, Dart Bank drove an additional $48 million in funded loans—all by connecting with borrowers at the right moments of opportunity.

Tucson Federal Credit Union (TFCU)

  • Customer Intelligence in action: TFCU adopted Total Expert Journeys + Customer Intelligence to automate workflows, unify member data, and personalize communications; reducing manual work (e.g., uploading data daily) and streamlining email campaigns.
  • Driving measurable value: Open rates now exceed industry benchmarks (25–26%), and click‐through rates have improved. Campaign build times dropped from weeks to minutes.

Family Savings Credit Union

  • Customer Intelligence in action: Family Savings Credit Union moved from generic, outsourced marketing to using Total Expert Journeys, personalized messaging across channels, and better data visibility internally (bringing together core banking data, email, etc.), enabling them to send more strategic and relevant communications.
  • Driving measurable value: By acting on these insights, Family Savings Credit Union has increased retention and preserved the strong member relationships that fuel long-term success.

Horicon Bank

  • Customer Intelligence in action: Horicon created a Data Insights department, deployed Total Expert for centralized CRM/marketing automation, enabling more intentional targeting and personalized communications, letting staff have visibility into customer behavior across branches and channels.
  • Driving measurable value: The bank is now orchestrating timely, personalized borrower outreach at scale—transforming digital signals into relationship-building opportunities that strengthen loyalty.

Tech- and data-driven strategies have proven over and over that they have the ability to help deepen personal relationships for smaller credit unions and community banks. Our customers are proving that size doesn’t have to be a barrier. It can be an advantage that allows organizations to move quickly, leverage powerful tools like Customer Intelligence, and deliver authentic, personalized experiences at scale.

Learn more about Customer Intelligence and how it can drive consistent growth by enhancing your member and customer relationships.

See Total Expert
in action

Create sustainable growth and increase loyalty with a customer engagement platform that’s purpose-built for financial institutions.
Schedule a demo