TRAiNED

2025: New wins or old habits? Do you have a target win rate? 2024 wasn’t easy for anyone in the mortgage industry. But if you’re still standing, it’s because you’ve got grit. That’s the kind of resilience winners are made of. The question is: How do we turn resilience into results? Enough with focusing on losses and what didn’t work. It’s time to pivot, focus on the wins, and lean into opportunities. The path forward starts with better tools, smarter processes, and a mindset ready to crush it in 2025. ➡️ Here’s the Problem: It costs over $13,000 to manufacture a single loan. Why? Because our industry is running on systems that haven’t evolved. - Manual tasks slow everything down.  - Costs pile up—even on deals that don’t close.  - Market cycles force constant hiring and layoffs, making it impossible to scale sustainably. These inefficiencies don’t just cost dollars—they cost time, energy, and progress. ➡️ The Stakes Are High: - Teams are stretched too thin.  - Resources are drained.  - Opportunities are missed. If we keep doing things the same way, the results won’t change. But What If It Could Be Different? What if you could save thousands per loan, cut out the inefficiencies, and finally scale, without breaking your back or your budget? ✅ That’s exactly what TRAiNED AI does: - It automates the most painful, time-consuming steps in loan manufacturing.  - It integrates seamlessly with your current systems—no disruption, no steep learning curve.  - It saves up to $300–$1,000 per closed loan, freeing up time and resources to focus on growth. TRAiNED AI is how lenders win in 2025. This isn’t about staying afloat, it’s about thriving. It’s about getting ahead of the competition with smarter, faster processes that work for you, not against you.   Let’s make 2025 the year we all crush it. 🔥 TRAiNED AI is ready. Are you? Book a demo today: https://hubs.li/Q02-nWrh0 #AI #MortgageTech #MortgageIndustry #AIMortgageManufacturing #FinTech #TRAiNEDAI

Did you know the cost of closing a single mortgage loan can exceed $13,000 for independent mortgage bankers? And climb even higher, up to $16,000-$17,000, for banks and credit unions?  These high costs pose significant challenges for lenders and customers alike. But the good news is that AI and advanced technology are reshaping the mortgage industry to make it more efficient and cost-effective. Here’s how: 1️⃣ Lowering Costs Across the Board Traditional mortgage processes from origination to servicing and compliance are expensive and time-consuming. AI reduces the need for manual tasks, speeding up processes and cutting costs for lenders. This, in turn, allows lenders to pass on savings to customers through lower fees or better rates.  2️⃣ Smarter, More Efficient Model Training In the past, training a machine learning model could require thousands of scenarios (sometimes 5,000-25,000!) and constant reengineering. With today’s advanced AI, we can train models using just 15-20 scenarios, saving time and drastically reducing costs. 3️⃣ Continuous Improvement Without the Overhead AI models today are designed to evolve, learning and adapting in real time. This eliminates the need for costly maintenance and retraining by engineers. The result? A system that keeps getting smarter, freeing up resources to focus on growth and innovation. ➡️ The Bottom Line By leveraging AI, lenders can: - streamline operations, - reduce costs, and - offer better experiences to customers. It’s a win-win for everyone involved.  ✅ Imagine saving up to $299 per closed loan with scalable profitability. Let's chat about how TRAiNED AI makes it possible for you. Book your demo today in the comments below. #AI #MortgageTech #FinTech #TRAiNED _ _ _ Follow Mark Cunningham, Founder and CEO at TRAiNED AI, for actionable insights on AI Mortgage Manufacturing™, cost reduction, operational efficiency, and scalable profit retention in the lending industry.

The real stakeholder in the mortgage lifecycle is the consumer. Affordability, accessibility, and fairness are the cornerstones of what we’re striving for and technology, particularly AI, is changing the game. It was a pleasure joining Housing Finance Strategies at the #ZillowHousing24 virtual summit with brilliant industry leaders focused on finding solutions to our current housing issues. ✅ Watch the full summit on-demand in the comments section. Here’s what’s happening: ▶️ Breaking Down Minutiae The traditional mortgage process is full of inefficiencies—manual touches, redundant steps, and bottlenecks that drive up costs. Task-driven technology may have helped in the past, but it also added more “touches” at every step. Now, exception-based technology is turning the tide. By focusing only on key decisions and eliminating unnecessary steps, we’re creating faster, more efficient workflows that prioritize what matters: getting the consumer through the process without delay. ▶️ Tackling Bias in Lending Bias doesn’t belong in the mortgage process, yet it often sneaks in. Human fears, assumptions, and even outdated processes can create unintentional barriers for potential borrowers. This is where AI shines. By letting data drive decisions, we can focus on the facts:  - Does this person qualify?  - What do they need to move forward?  - How can we ensure no opportunity is missed? When tech evaluates a diverse, unbiased dataset, we eliminate guesswork and open doors for more equitable lending. ▶️ Human in the Loop AI isn’t perfect. It needs guidance, oversight, and validation to work effectively in complex industries like mortgages. That’s why having a human in the loop is critical. Our teams are trained to ask:  - Is this decision accurate?  - Does it need a human touch?  - Are we validating every step with care? This balance between AI and skilled human oversight ensures efficiency without sacrificing trust and accuracy. By embracing exception-based technology, tackling bias, and combining human expertise with AI, we’re not just improving the mortgage process—we’re making homeownership more affordable, accessible, and fair. How do you see AI transforming your industry? Let’s discuss how we can all work toward greater efficiency and equity. Faith Schwartz Zillow #AI #MortgageTech #FinTech #Housing #Affordability #TRAiNED _ _ _ Follow Mark Cunningham, Founder and CEO at TRAiNED AI, for actionable insights on AI Mortgage Manufacturing™, cost reduction, operational efficiency, and scalable profit retention in the lending industry.

3 Mistakes Businesses Make When Integrating New Tech (and How to Avoid Them)  Adopting new technology can transform your business—if you do it right.     But too often, businesses stumble over common mistakes that can cost them time, money, and progress.     Here’s what I’ve seen go wrong—and how you can get it right:     1️⃣ No Clear Picture of Success Many businesses jump into new tech without defining success.  - What should it accomplish?  - What specific goals are you solving for? Without clear, measurable objectives, you won’t know if it’s working.    If the tech doesn’t align with your goals, it’s just a costly distraction.     2️⃣ Trying to Reinvent the Wheel Building custom solutions from scratch can be tempting. Outsourcing to offshore tech teams might seem like a shortcut. But most of the time, it doesn’t work.    Here’s what happens:   - Offshore teams may understand tech, but they don’t understand your operations.  - Custom builds are complex, risky, and far more expensive than they seem.  - You’ll often end up with something that’s hard to implement—or doesn’t work at all.    3️⃣ Overlooking Internal Expertise Many companies skip leveraging their in-house teams. But integrating new tech isn’t just about the tools—it’s about how they fit into your operations.    Here’s what you can do: Involve your team early. Their operational insights are critical to making the tech work for your business.    The Key Takeaway - Define success. What does “winning” look like for this tech?  - Don’t build from scratch. Use proven tools that solve at least 50% of your needs.  - Lean on your team. No one understands your operations better than your own people.    ✅ Here’s the bottom line: You don’t need to reinvent the wheel to succeed with new tech—you just need the right strategy.     ➡️ What’s been your biggest challenge with new tech? Let’s discuss in the comments. #AIMortgageTech #AIMortgageManufacturing #FinTech #MortgageIndustry #MortgageTechnology #TRAiNED _ _ _ Follow Mark Cunningham, Founder and CEO at TRAiNED, for actionable insights on AI Mortgage Manufacturing™, cost reduction, operational efficiency, and scalable profit retention in the lending industry.