By the end of this you will have a policy checking checklist, a prompt that lines up the quote, binder and policy side by side, and a clear line between what AI checks and what you sign.
The policy lands. Ping. Into the inbox, into the client folder, maybe straight on to the client.
Did anyone read it?
Not skim. Read it against what you asked for. Because carriers make mistakes, and when the mistake surfaces at claim time, the first question is whether the agency caught it.
What is policy checking?
Policy checking is comparing the issued policy to what was requested, quoted and bound, before it reaches the client. Wrong named insured, missing location, an endorsement that never made it on. You find it now, you fix it with an email. You find it at claim time, you're having a much harder conversation.
E&O carriers and the Big "I" keep pointing at the same root causes. Utica National's list of common causes of agents' E&O claims and the Big "I" tips on preventing the most frequent E&O claims are worth an hour of your team's time. This guide isn't legal advice. Ask your E&O carrier what they expect your procedure to include.
The policy checking checklist
Every line here is a comparison: issued policy versus the quote, the binder, and the application.
| Check | Compare against | The usual miss |
|---|---|---|
| Named insured | Application, binder | A missing entity or DBA |
| Mailing and location addresses | Application, schedule | A location dropped from the schedule |
| Policy period | Binder | Wrong effective date or a short term |
| Limits | Quote, binder | Aggregate or sublimit lower than quoted |
| Deductibles | Quote | Wind, hail or named storm deductible changed |
| Forms and endorsements | Quote's forms list | An endorsement on the quote that never made it on |
| Additional insureds, waivers, primary and noncontributory | Quote, client contracts | Blanket wording missing or replaced with scheduled |
| Mortgagees, loss payees | Application, client request | Wrong lender or loan number |
| Classifications and exposure bases | Quote, application | Class code or payroll basis changed |
| Vehicles and drivers | Schedule sent to carrier | A VIN typo or a missing unit |
| Premium, taxes and fees | Quote | A difference nobody explained |
Eleven rows, three documents each. That's why policy checking gets skipped when the desk is buried.
How AI helps with policy checking
AI is very good at the boring middle: reading three long documents and putting matching facts side by side.
The payoff can be real. IA Magazine's midyear look at AI in agencies cites one agency from the Big "I" and Reagan Consulting 2025 Best Practices Study that saved 30 minutes per staff member per day on policy checking. Thirty minutes a day, per person. Do that math for your team.
It lines up with what agents report more broadly. Liberty Mutual's 2026 study of independent agents found that agents using AI save about four hours a week. Policy checking is one of the clearest places to collect some of that time, because the work is comparison, and comparison is what these models do best.
You don't have to build it yourself, either. Agency system vendors are shipping this. Vertafore, for one, launched two AI policy agents in October 2026. Ask your own vendor what they have before you buy anything new.
If you're working in ChatGPT or Claude directly, the prompt below does a careful first pass.
The comparison prompt
Use a business plan with training off, one account per chat, and attach all three documents.
You are checking an insurance policy for [CLIENT NAME].
Attached: [QUOTE], [BINDER], [ISSUED POLICY].
Build one table with these columns:
Item | Quote says | Binder says | Policy says | Page in policy | Match?
Cover: named insured (every entity), mailing address, each location,
policy period, every limit and sublimit, every deductible, every form
and endorsement with number and edition date, additional insureds,
waivers, loss payees and mortgagees, class codes and exposure bases,
vehicles, premium, taxes and fees.
Rules:
- Quote values exactly. Do not round or reword.
- If a document does not mention an item, write NOT FOUND.
- Mark Match? as YES, NO, or CHECK. Use CHECK when wording differs
but might mean the same thing.
After the table, list every NO and CHECK as a one-line correction
request I could send to the carrier.
The last instruction turns a review into a to-do list. That's the part your team actually needs.
What AI misses in a policy check
It will miss things. Know which ones:
- Effect, not just form number. It can confirm CG 20 10 is listed and still miss that the edition date differs from the one quoted, or that a later endorsement narrows it.
- Schedules saved as images. Vehicle and location schedules are often scanned tables. A misread digit in a VIN looks perfectly normal.
- Manuscript endorsements. Custom wording has no standard to compare against. A person reads these.
- Things that were never written down. The client told your producer about the new warehouse on the phone. No document says so, so no model will catch it. Your notes have to.
- Arithmetic. Ask it to total premium and fees and it may be wrong. Have it show the math, then check it.
Who signs off
A person. Always.
- AI runs the first pass and produces the table.
- A trained CSR or account manager reviews every NO and CHECK against the policy pages.
- Correction requests go to the carrier the same day.
- The check, the table and the carrier's response go in the client file, with a date and a name.
- The policy goes to the client with a note on anything still pending.
If you take one thing from this: document the check. A policy check that isn't recorded is hard to prove later.
Where Salience fits
Policy checking sits next to renewals and policy changes, the same documents read the same careful way. That's the work Salience takes off an agency's desk. You forward what came in, Salience reads it against what was bound and prepares what needs fixing, and nothing goes out until you approve it.
Next, see how the same comparison runs at renewal time in AI for insurance renewals, how to read a single policy in how to use AI to read an insurance policy, and how to put rules around all of it in your agency's AI policy. The full shelf is AI by task.
Give us a call
Hey, all the tech is great, and innovation is great. There's a lot of responsibility and liability across the entire space, and a lot of people are saying the same words that mean different things. Give us a call. We plug in specifically to your processes and take care of the GDS first to unlock you and bring home the bacon.
Call +1 (916) 866-7867 or book a walkthrough.
Would you rather approve this than type it?
Forward the request or the prior application. Salience prepares the form, flags what's missing, and nothing goes out until you approve it.
Frequently asked questions
What is policy checking in insurance?
Policy checking is comparing the policy the carrier issued against what was requested, quoted and bound, before it goes to the client. It catches wrong names, dates, limits, forms and missing endorsements while they are still easy to fix.
Can AI do insurance policy checking?
AI can do the first pass well: line up the quote, binder and policy in one table and flag every difference with a page reference. A trained person still reviews the flags and decides what needs a correction request.
What is the policy checking process?
Gather the application, quote, binder and issued policy; compare named insured, dates, locations, limits, deductibles, forms, endorsements and premium; request corrections from the carrier; document the check in the client file; then deliver the policy.
Is there insurance policy checking software?
Yes. Agency management system vendors and specialist firms sell policy checking tools and services, and Applied and Vertafore both added AI for it to their systems in 2026. A general model like ChatGPT or Claude can do a careful first pass if you give it the documents and a strict prompt.
How long does policy checking take with AI?
It depends on the account. One agency in the Big I and Reagan Consulting 2025 Best Practices Study saved 30 minutes per staff member per day on policy checking, as reported by IA Magazine.