3 min read
AI vs Automation - What’s the Difference and Why It Matters in Insurance
AI vs. Automation in Insurance: What’s the Difference—and Why You Can’t Afford to Confuse Them In an industry that runs on process, paperwork,...
3 min read
Ryan Hanley
Jul 9, 2025 5:08:00 PM
There’s a dirty little secret in the world of AI tools—especially in insurance.
The tools aren’t broken.
The prompts are.
And if you're a commercial insurance agent hoping AI will help you prospect smarter, quote faster, or place risks more effectively, you’re only going to get out what you put in.
That’s why mastering the art of writing better prompts isn’t a “nice-to-have.” It’s the unlock. The difference between a generic answer and a tailored, revenue-generating insight.
In a recent video from Linqura’s Chief Growth Officer, Ryan Hanley, we broke this down into plain English: what prompts are, why they matter, and how insurance professionals can start getting more value from their AI systems—starting today.
Here’s the highlight reel, plus how Linqura is turning better prompts into better profit for agents across the country.
A prompt is just a question or instruction you give an AI.
Simple, right?
But just like giving directions to a new intern or explaining coverage to a client, how you ask matters more than you think.
The difference between “What’s a good policy?” and “What policy options work best for a retail store with 10 employees in New York?” is night and day in terms of what you’ll get back.
AI is powerful—but it’s not a mind reader. If you feed it lazy, vague, or confusing instructions, you’ll get lazy, vague, or confusing results.
According to Ryan Hanley, if you want to get better results out of your AI tools—whether that’s ChatGPT, Linqura’s LINQ platform, or any sales co-pilot—you need to follow three key rules:
“Good policy” means nothing to a machine. “A BOP for a pet grooming salon in Austin with 5 employees” means everything.
Think like an underwriter. Include the who, what, where, and why of your question.
The more context you provide (business type, location, revenue, risk profile), the more precise the response. AI thrives on data. Feed it well.
Example: Instead of “Tell me about policies,” try “What liability policies cover restaurants in NYC with liquor sales?”
AI doesn’t need legalese or corporate buzzwords. Just be clear and concise. Think fifth-grade reading level. Short. Direct. Unambiguous.
Most insurance agents don’t need more tools. They need to get more out of the ones they already have.
That’s where good prompting becomes a force multiplier. It cuts time, reduces back-and-forth, and helps you move from general information to actionable insights.
Want to reduce time-to-quote?
Want to stop emailing your wholesaler three times to understand appetite?
Want your new producers quoting like seasoned pros?
It starts with better prompts.
At Linqura, we see this every day.
Agents using our AI sales co-pilot aren’t just talking to a chatbot. They’re unlocking real-time insights from proprietary data across 750+ industry class codes—but only if they know how to ask for it.
That’s why LINQ 1.0, our AI-powered Carrier Placement Engine, is built with agents in mind. It doesn’t just wait for a prompt—it guides better prompts out of you.
You start with just a business name and address. Our system then:
In other words, we’ve made “good prompting” part of the system. Because we know most agents aren’t trained prompt engineers.
The agents who figure this out early—how to think like an AI collaborator, not just a user—are the ones who’ll dominate the next five years of commercial insurance.
They’ll close more deals.
They’ll spend less time quoting dead-end accounts.
They’ll win bigger books and scale more profitably.
And they’ll look like superheroes to clients and carriers alike.
If that sounds like hype, it’s not. It’s happening now.
The difference? They’re not just using AI—they’re communicating with it effectively.
Simple. Start small. Practice your prompts. Use the 3 rules above. Test them with your current AI tools.
If you’re already a Linqura user, challenge yourself to get more out of the LINQ platform by crafting tighter, more detailed instructions. You’ll be shocked at what the system can do with just a little more signal and a little less noise.
Not using Linqura yet?
Let’s fix that.
Now It’s Time to Put It in Your Cockpit.
At Linqura, we don’t sell AI tools. We deliver AI-driven outcomes—higher closing rates, better carrier matches, more productive producers, and dramatically fewer errors.
Our Carrier Placement Engine helps every agent act like a 20-year veteran—without the 20-year learning curve.
And with our tailored implementation and ongoing support, you’re never left guessing. We help you integrate, train, and win from day one.
👉 Schedule a demo and let’s show you how.
3 min read
AI vs. Automation in Insurance: What’s the Difference—and Why You Can’t Afford to Confuse Them In an industry that runs on process, paperwork,...
3 min read
From Data to Decisions: How AI Transforms Risk Analysis in Commercial Insurance In commercial insurance, success hinges on one thing:...
3 min read
Artificial Intelligence in Insurance: A Straight-Talk Primer—and Your Competitive Edge Artificial intelligence (AI) isn’t science fiction anymore.