My AI Loan Servicing Journey

Curiouser and Curiouser

Down the Rabbit Hole

Like most of us, I started messing around with AI out of sheer curiosity. ChatGPT could write a poem, Gemini could change your hairstyle—it all felt like a digital magic show. “Look at this! Look at that! Amazing!”

Then came the turning point: trying to get AI to actually do work—the kind of work we don’t particularly want to do ourselves. Once you cross that line and solve (or almost solve) a real business problem, AI stops being a novelty and starts feeling like an absolute game-changer.

But wow, the emotions that come with it! One minute you’re fascinated, the next you’re mildly terrified, and somewhere in between you’re just plain exhausted. We’re not talking about another software upgrade here—we’re talking about accelerating into a world that may soon look completely different. Down the rabbit hole indeed.

Here We Must Run as Fast as We Can Just to Stay in Place. And If You Wish to Go Anywhere You Must Run Twice as Fast

Businesses have a couple of choices to make regarding AI:

a) Stick your head in the sand and hope it all blows over. (Ask Blockbuster how that went when Netflix came knocking.)

b) Dab a little AI here and there to boost productivity—better, but risky. Remember Kodak? They literally invented the digital camera in 1975, but buried it because it might hurt their film business. By the time they came around, Sony and Canon had already eaten their lunch.

c) Or, you can lean into the madness—experiment, learn, and prepare for whatever’s next.

As the Red Queen wisely said, “My dear, here we must run as fast as we can, just to stay in place. And if you wish to go anywhere you must run twice as fast as that.”

"We're Late!"

At Goldersun, we’re definitely somewhere

between categories b and c. We’re experimenting, learning, and occasionally tripping over ourselves in the process. Most days, we feel like the White Rabbit—late for a very important date, clutching our watches, hoping we’re not missing the future as it speeds by.

Sometimes I've Believed as Many as Six Impossible Things Before Breakfast

The White Queen had it right. Some mornings,

working with AI feels like believing six impossible things before breakfast. Machines reading contracts in seconds? Predicting loan defaults? Writing music? Come on.

And yet—here we are.

Every day, the boundaries of “impossible” are redrawn. Robots juggle data, algorithms talk back with nuance, and predictive models quietly guide billion-dollar decisions. The strange magic of AI isn’t that it makes the impossible possible—it’s that it makes the unbelievable ordinary.

It’s Going to Get Curiouser and Curiouser

The fun (and slightly terrifying) part? It’s only just getting started.

On the near horizon, AI systems won’t just answer your questions—they’ll anticipate them. Imagine copilots in every workflow: negotiating contracts, optimizing logistics, customizing customer experiences—all in real time. AI will shift from tool to teammate, quietly weaving itself into how we make decisions.

Look further out, and it gets almost surreal: models that can reason across multiple domains, merge with robotics, even create entirely new ways of thinking and problem-solving. What feels uncanny today—machines chatting, coding, composing—may soon feel downright normal. Then we’ll all be asking, “Okay, what’s the next impossible thing?”

AI First

Disclaimer: Portions of the text quoted below are from AI First by Adam Brotman and Andy Sack, used under fair use for commentary/education. This post also contains affiliate links to Amazon—if you buy through these, I may earn a small commission at no extra cost to you. (I don’t care about the money, just wanted to learn how to be an affiliate)

I recently read AI First by Adam Brotman and Andy Sack, and it hit me like a ton of algorithms. The book lays out what it means for a company to be truly “AI-first”—not just sprinkling AI into operations, but baking it into the core of strategy and culture.

The authors interviewed top tech visionaries and, somewhere in the middle of those conversations, had what they called a “holy-shit moment.” That’s when it really hit them how close we are to a world reshaped by Artificial General Intelligence (AGI)—a world that’s arriving faster than most of us are ready for.

It got me thinking: is our organization truly prepared for what’s coming? (Short answer: probably not—but we’re working on it.)

Conclusion: You Must Run Twice as Fast...

There’s no guidebook for this. No software manual, no tidy case study. Things are evolving so quickly that what you learn this week might be obsolete next Tuesday. It’s confusing, exhilarating, and humbling all at once.

To borrow from the Cheshire Cat, when Alice asked which way she should go, he replied,

“That depends a good deal on where you want to get to. And if you don’t much care where, then it doesn’t matter which way you go.”

The trouble is, with AI, we don’t yet know where we want to get to—because we don’t yet know what’s possible. The best we can do is take Brotman and Sack’s advice: start using AI to make things better, faster, smarter, and push ourselves to keep experimenting.

Because if we’re not running twice as fast, well… we might just be standing still.

Call to Action

So, how are you using AI?

Have you found ways to make it more than just a back-office helper?

Drop me a note. I’d love to trade stories, compare battle scars, and maybe share a laugh about the beautiful chaos we’re all stumbling through together.