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ProductJuly 29, 20269 min read

Your AI Doesn't Know Your Carriers. Here's How to Fix That.

By Jay J.P. Peak

Ask a general AI assistant which carrier to take a case to and it will give you an answer that sounds informed and means nothing. It does not know which carriers you are appointed with. It does not know that one of them has quietly gotten difficult on builds over a certain threshold, or that another moves fast on a specific impairment if you send the APS up front.

You know those things. They took years. The AI does not, and that is why its advice reads like a trade magazine article instead of a colleague.

The obvious fix, and the reason it usually fails

The obvious fix is to tell it. Paste in your carrier list, your underwriting notes, the way you run a first appointment, and suddenly the answers get sharper.

Then you open a new conversation the next morning and it is gone. Every one of those tools starts each session as a stranger. You end up re-explaining your own practice several times a week, which costs more time than the tool saves, and eventually you stop bothering and go back to using it for email drafts.

That is not a small annoyance. It is the difference between a tool you use daily and one you cancel in month two.

The part nobody talks about

Here is the problem with just bolting memory onto a general assistant.

An AI that learns whatever you tell it will also learn whatever you tell it wrong. If you write down a belief about how a 1035 exchange works, or how a trust has to be structured, and it happens to be incorrect, that tool will repeat it back to you with total confidence for as long as you use it. Worse, it will repeat it in the drafts you send to clients. You have not built an assistant at that point. You have built a machine that industrializes your own blind spots.

Every agent has a few of these. Things learned secondhand at a sales meeting a decade ago that were never quite right. That is normal and human. It becomes a liability the moment you feed it into something that never questions you.

Custom knowledge on a floor that does not move

The design that works separates two things that sound similar and are not.

Your practice knowledge is customizable. Carriers, appetite, service quirks, your process, your niche, the language your clients respond to. All of that should be yours to define, and the assistant should read it every single time.

The compliance floor is not customizable. A direct annuity to life 1035 does not exist no matter what you write in your notes. An irrevocable trust has to be the original owner. Employer-owned coverage needs notice and consent before issue. Those rules do not bend because a user asserted otherwise, and a tool that lets them bend is more dangerous the more you trust it.

So the right behavior when a note conflicts with a rule is not to silently pick one. It is to follow the rule and tell you that your note conflicts with it. That is a slightly uncomfortable feature to build, because it means the software occasionally tells the customer they are wrong. It is also the entire reason it is safe to train.

The same applies to anything in your notes that asserts a tax or legal conclusion. It should be treated as your working assumption and labeled as such, not laundered into a fact because you wrote it down.

What actually belongs in your notes

The useful stuff is the specific, hard-won, unglamorous knowledge that no model could have learned from public text.

  • Carrier appetite. Who you are appointed with, who moves fast on what, who is slow, who has changed recently and in which direction.
  • Underwriting patterns you have observed. Which impairments get treated well where, when to send an APS up front, which questions on a particular application cause problems.
  • Your process. How you run a first appointment, what you send before, what you send after, how long you wait before the second call.
  • Your niche. If you write business owners in a specific trade or a specific region, say so, including the language and objections that come up over and over.
  • The way you actually talk. Not a description of your tone, an example of it. Paste in an email you were proud of.

What should never go in

No client information. No names, no dates of birth, no policy numbers, no health details, no anything that identifies a real person. Notes are for how you work, not for who you work with.

That is not just a privacy checkbox. You have obligations around client information that do not relax because a tool made it convenient. Describe the pattern, never the person. Instead of naming a client and their condition, write the underwriting lesson you learned from that case.

Also leave out anything you are not actually sure about. If you would not defend it to a carrier's underwriting desk, do not write it down as though it were settled.

What changes when you do this

The answers stop being about insurance in general and start being about your practice. Ask where to take a case and you get a conversation about the carriers you can actually write, not a list of names you have no appointment with. Ask for a follow-up email and it sounds like your last good email rather than a template.

It takes about twenty minutes to write the first few notes and you do it once. That is the whole ask.

Teach it your practice

Twenty minutes of notes and Ace stops giving you generic answers. Lock in the Founding 50 rate or start with the free Starter Kit.

The bottom line

Generic AI gives generic answers because it does not know anything about you, and the fix is to tell it once rather than every morning.

But be careful what you buy. An assistant that will learn anything you say, including the things you have slightly wrong, is not more helpful than one that pushes back. It is just more confident. The version worth paying for is the one that takes your knowledge seriously and still refuses to break a rule for you.

The full list of what Ace does, including the thirty calculators and the rules it will not break, is on the capabilities page. For how the guardrails work in practice, see the shift from drafting to case design.

For education only. Results vary and are not guaranteed. Nothing here is legal, tax, or compliance advice. Do not enter client-identifying information into any AI tool. You remain responsible for protecting client information and for compliance with your state, carrier, and licensing requirements.

Frequently asked questions

Can you train an AI assistant on your own insurance practice?+

With the right tool, yes. You write notes about your carriers, the underwriting patterns you have observed, your process, and your niche, and the assistant reads them on every message rather than starting each conversation from scratch. The important limitation is that good tools do not let those notes override compliance rules, so custom knowledge makes answers specific without making them unsafe.

Why does AI give generic insurance advice?+

Because it does not know anything about your specific practice. It has no idea which carriers you are appointed with, which ones move quickly on a given impairment, or how you run an appointment. It answers from general public knowledge, which is why the output reads like a trade article rather than a colleague who knows your book.

Is it safe to train AI on my own notes?+

It depends entirely on whether the tool has a compliance floor underneath. An assistant that accepts anything you tell it will confidently repeat your mistakes back to you, including in client-facing drafts. The safer design treats your notes as reference that cannot override hard rules, and tells you when something you wrote conflicts with one.

What should I not put in AI training notes?+

Any client-identifying information. No names, dates of birth, policy numbers, or health details. Describe the pattern you learned, never the person you learned it from. Also leave out anything you are not confident about, since writing an assumption down does not make it a fact.

How long does it take to set up?+

About twenty minutes for the first several notes, and you only do it once. Most agents start with carrier appetite, a few underwriting patterns, and how they run a first appointment, then add to it as things come up.

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