Beyond ChatGPT: 4 Real Ways Loan Officers Can Use AI for Mortgage Today

By now, ChatGPT is old news. Even in an industry sometimes slow to embrace new tech, using generative AI to draft emails and social posts is table stakes. “If you’re not embracing AI, you’ll quickly fall behind the eight ball,” TLOP host Dustin Owen said in early 2025. Six months later, his words are truer than ever.

However, generative AI tools such as ChatGPT or Claude are now being upstaged by Agentic AI — AI that acts on data, not just writes about it. Below are four practical ways loan officers can leverage AI today.

1. AI for Mortgage: Create Borrower Summaries in Seconds

When you're juggling 30 active borrowers, relying on memory isn’t a system — you're fighting a fog of tabs, sticky notes, and half-remembered facts. AI-powered borrower summarization changes that dynamic entirely.

Imagine opening your laptop and asking: “Which of my borrowers is most likely to close this week?” Within seconds, your AI co-pilot cross-references your CRM, LOS, and even third-party dashboards. It surfaces a ranked list, complete with context: “Borrower A is 85% likely — their appraisal came in, rate lock expires in 2 days, and underwriting is past the automated review stage.” This is not guesswork. This is data-driven insight.

One mid-sized mortgage branch manager in North Dakota said, “Before using Third Floor, I'd open five separate spreadsheets, dig through emails, ask assistants, then try to remember where I left off. With AI summarization, I can see everything in a single snapshot.”

They reported closing more deals per month with fewer follow-up errors.

Research & industry signal:

Lending intelligence — the ability to surface insights from unstructured and structured borrower data — is increasingly seen as a competitive differentiator. The Mortgage Bankers Association describes it as “the ability to build full, trusted borrower insights that human processors routinely miss.” Moreover, generative AI in mortgage document processing is helping lenders generate summarized borrower narratives automatically from income, employment, and credit documents. In short: personalization and precision no longer cost hours — they cost seconds.

2. Mortgage CRM with AI: Pipeline Visibility That Sees Ahead

Too many loan officers operate in tactical mode — tackling the next email, the next task, but never scanning the full board. Agentic AI elevates you to strategist.

With Self-Managing Pipelines, your system continuously monitors every milestone and risk signal in real time. It flags issues before they escalate: a missing verification, a drift in credit or assets, a delayed appraisal, or a rate lock that’s about to expire. Because Third Floor's AI for mortgage has memory and context, it doesn’t just flag “something’s off”—it suggests next actions (e.g. “ask borrower for updated paystub,” or “renegotiate lock”).

According to Fannie Mae’s survey, 73% of lenders say improving operational efficiency is their top motivation for adopting AI/ML — tracking milestones, detecting anomalies, and automating reviews are right in that sweet spot. And AI in mortgage processing has the potential to reduce closing times drastically (e.g. from 52 days to fewer than 20) by removing bottlenecks.

Agentic AI in lending is gaining traction for exactly this kind of orchestration: instead of generative tools that write, agentic systems execute — triggering follow-ups, reconciling data, and enforcing business logic.

3. Agentic AI for Mortgage: Intent Detection That Keeps Relationships Alive

You can’t scale empathy, but you can scale attentiveness. And in a business built on relationship dynamics, that’s gold.

Third Floor’s Context-Aware Communication Engine analyzes borrower tone, timing, and behavior to detect signals of intent: who’s boredom-scrolling, who’s ghosting, and when it’s time to re-engage. Because it’s context-aware, it adapts messaging automatically so your outreach feels personal, not robotic.

One LO shared a real moment: “I got a message from our AI: ‘Borrower hasn’t opened emails in 48 hours after app submission — send a check-in text with a value-add.’ I checked the notes: they were pricing out houses. I sent a quick video walk-through of market comps. Two hours later they replied, and we re-engaged them. If I waited till the next day, we may have lost momentum.”

That kind of micro-moment can move deals off the edge.

Industry insight:

As borrowers expect more timely and personalized communication, mortgage professionals are turning to AI-powered tools to scale human touch. Moreover, research in using AI-refined narrative text (versus human-written) shows that generative AI can help improve prediction of credit default (through better borrower behavioral signals captured in text) when integrated with structured data.

In other words: your communication signals are data — and AI can help you read them faster and more accurately than your gut.

4. AI Tools for Loan Officers and Teams: Smart Prioritization for Your Day

Most mortgage CRMs still dump you into a to-do list you have to create yourself and expect you to hunt your own priorities. Imagine instead opening your system to a ranked agenda — who to call first, who to re-engage, which partners are heating up, and what’s critical now.

Third Floor’s Strategic Co-Pilot uses predictive analytics to surface that agenda. It doesn’t just sort — it reasons. It understands your capacity, which files will move most quickly, and which touches have the highest ROI.

AI as your “smart first assistant,” not your second billing assistant.

Industry Insight:

Predictive scoring and task prioritization are already in use in mortgage analytics platforms to rank urgent tasks and streamline workflows. And as Better’s mortgage arm makes clear, nearly 40% of its loan files are reviewed via its AI underwriting (“Tinman”), generating significant fulfillment savings and increasing capacity per LO. HousingWire

So the precedent is real: AI doing heavy-lifting — and freeing humans to do high-value work.

Stop Treating AI Like Just a Writing Tool

The real power of AI isn’t in writing — it’s in doing. As Owen warned, “History doesn’t repeat, but it rhymes… I don’t want to be the originator who didn’t text borrowers five years ago.” If your competitors are still stuck on content AI — or worse, they’re not using it at all — they’re falling behind.

Agentic AI is the difference between passive assistance and active partnership. It doesn’t just generate text; it remembers, acts, reasons, and triggers workflows. In mortgage, the shift is especially potent: your pipelines, borrowers, and compliance rules are complex. So the tools you use must do more than check boxes — they must think.