How Insurance Agents Can Use AI to Explain Coverage
By Stacey Tallitsch | October 20, 2026
A client signs the policy, nods along, and shakes your hand. Six months later they call after a fender bender, upset, asking why something was not covered. You explained it at signing. They did not take it in.
This is the quiet tax on running an insurance agency. People do not read their policies, and the language inside them is built for lawyers, not for the person paying the bill. An industry survey found that most Americans do not fully understand the insurance they have bought, even though 86% believe they do. That gap lands on your desk, one phone call at a time.
You cannot make clients read the fine print. But you can explain it faster and more clearly, and AI can do a lot of that explaining for you. Let me walk through how, and where you still have to be the professional in the room.
First, what "AI" means here
When people say "AI," they usually mean a computer tool that reads plain language and writes plain language back. You give it a block of text and a request, and it answers in normal words. Think of it as a fast writer who is good with words but knows nothing about your client or their actual policy.
For an insurance agent, the job is simple. AI takes dense coverage language and rewrites it so a normal person can follow it. It drafts the answer to the same question you get every week. You stay the expert who checks the work and signs off. The AI writes. You decide if it is right.
Here is how to set it up.
Step 1: Pick an AI tool and start with one coverage
The common AI tools are ChatGPT, Claude, and Gemini. The free version of any of them handles this work fine. (If you are not sure which one to use, I wrote a plain guide on choosing between ChatGPT, Claude, and Gemini.)
Do not try to do everything at once. Pick the one coverage your clients ask about most. For a lot of agencies that is the homeowners deductible, or the difference between liability and full coverage on an auto policy.
Open the tool. Paste in the standard policy wording for that one coverage, the kind that lives in every policy of that type. Then ask for a plain version. Start small and get one right before you move on.
Step 2: Ask for plain English, and be specific
The request matters. Vague in, vague out. Be clear about who the explanation is for and how plain you want it. Something like this:
Rewrite this homeowners deductible language so a customer with no insurance background can understand it. Use short sentences. Aim for an 8th grade reading level. Keep it accurate. Do not add any coverage details that are not in the text I gave you.
That last line matters. It tells the tool to explain what is there and not to make anything up. You will get a draft in a few seconds. Read it. Tighten it so it sounds like you talking, not a textbook.
One rule for this step. Do not paste a client's personal details, policy number, or private information into the tool. You are rewriting the general coverage language, not their file. The tool does not need anyone's name to explain how a deductible works. (If you want the longer version of what is safe to share, I covered it in a plain guide on putting your business information into AI tools.)
Step 3: Build a library you reuse
The first time is the slow part. The payoff is that you only do it once per coverage.
Save each plain-English explanation in a simple document. Over a few weeks you build a library: the deductible, umbrella coverage, auto liability limits, what a rider is, why a flood is not covered by a standard homeowners policy. When a client asks, you are not writing from scratch. You pull a clear answer you already trust and paste it into an email.
You can also keep a short version for a text message and a longer one for the email you send after a policy review. Same information, sized for how you are talking to the client that day.
Group the library by policy type so you can find an answer in seconds while a client is still on the phone. One folder for homeowners, one for auto, one for your commercial lines. The faster you can pull the right words, the less a routine question eats into your morning. After a month of this, most of your common questions already have a clear answer sitting ready.
Step 4: Check it against the real policy before it goes out
This is the step you never skip. AI is the writer. You are the licensed professional. The policy document is the final word, every time.
Read every plain-English version against the actual coverage before you use it. Make sure the simple wording did not quietly change the meaning. "We cover water damage" and "we cover sudden water damage but not flooding" are very different promises, and a sloppy rewrite can blur that line. Your job is to keep it plain without letting it get wrong.
What can go wrong, and how to handle it
A few things are worth watching in this line of work.
AI can be confidently wrong. An AI tool will sometimes state a coverage detail that sounds right and is not. It does this in a calm, sure voice, which makes it easy to trust. Never let it decide what is covered or state a limit on its own. It rewords what you give it. It does not know the policy. I wrote more about why AI makes things up if you want to understand the cause.
Plain can slide into wrong. The whole point is plain language, but plain language that overstates coverage is worse than no explanation at all. End every client-facing summary with a simple line like this: "This is a general explanation. Your policy and declarations page control what is actually covered." It protects the client, and it protects you.
Client information is sensitive. Policies hold names, addresses, property details, and sometimes financial facts. Keep all of that out of the AI tool. Explain the coverage, not the customer.
What to expect after you set this up
The tools are cheap. A free AI tool covers most of this, and a paid plan runs about 20 dollars a month if you want the stronger version. You are not buying new agency software. You are adding a writing helper to the work you already do.
What changes is the repetition. The tenth time you explain a deductible this month, you are not typing it out again from nothing. The answer is ready, it is clear, and it is in words your client can actually follow. Fewer confused calls. Fewer angry surprises at claim time. More of your day spent on the work only a licensed agent can do, like matching the right coverage to the right person.
That is the honest promise here. AI does not replace your judgment or your license. It handles the explaining you do over and over, so you can spend your hours where they count.
-- Stacey | The Standalone
About the Author
Stacey Tallitsch runs The Standalone, an AI Implementation Diagnostic practice for small business owners. He has 30 years of experience in technology and has written 21 books on systems thinking and decision-making. More than 30,000 students have learned from his online courses.
- Stacey Tallitsch, The Standalone