How to compare two insurance policies with AI, step by step
- Gather the two policy PDFs. Save both policy documents you want to compare as PDFs. In the source example Ben uses two renters insurance policies for the same person from different years, but the same approach works for home, auto, or commercial policies.
- Upload the first policy. Upload the first policy PDF to your AI tool and ask it to pull out the main points: the named insured, the risk location, the carrier, the coverage limits, and the term information. Ben's example also flagged a missing coverage, noting there was no earthquake coverage on the policy.
- Upload the second policy. Add the second policy PDF and ask the AI to summarize it the same way, then compare the two. The AI pulls the same fields from the second document so both policies are described in a consistent format.
- Review the side-by-side comparison. Read the comparison the AI produces. In the example it lined up the carrier change from Travelers to The Standard Fire Insurance Company, the new policy number, the two policy periods, the coverage limits, and a 29 dollar premium increase between the years.
- Flag the discrepancies that matter. Look closely at anything that changed unexpectedly. The example caught that the first policy listed apartment 136 while the second listed apartment 304, and that the ZIP code changed, both worth verifying before the comparison is trusted.
- Verify the AI output against the actual policies. Open both PDFs and confirm the figures the AI reported, especially limits, premiums, dates, and addresses. The AI speeds up the read, but you stay responsible for the accuracy of what you tell a client.
- Reuse the same instructions every time. Save the instructions you used so the AI handles the next two policies the same way. Once it knows the routine, you hand it the documents and it does the same work over and over without re-explaining.
Why comparing policies by hand eats your day
Reading two insurance policies side by side is slow, detailed work. The information you care about, the named insured, the coverage limits, the term dates, the premium, sits in different spots in each document, often buried under pages of boilerplate.
When a policy renews or a client switches carriers, the differences that matter are easy to miss. A changed unit number, a new ZIP code, a quietly higher premium, or a coverage that dropped off can slip past you on a tired afternoon.
That is exactly the kind of repetitive, detail-heavy task AI is good at. It does not get bored on the tenth comparison, and it pulls the same fields from every document the same way.
What the AI pulls out of each policy
In the source example, Ben uploads a renters insurance policy and the AI automatically pulls out the named insured, the risk location, the carrier, and the core coverages and limits. It even noted that the policy did not include earthquake coverage.
When the second policy is added, the AI summarizes it the same way and then compares the two. The comparison called out the carrier change from Travelers to The Standard Fire Insurance Company, the new policy number, both policy periods, the coverage limits, and a 29 dollar premium increase between the two years.
The standout was a discrepancy in the address. The first policy listed apartment 136 and the second listed apartment 304, with a ZIP code change as well. That is the kind of detail you want flagged before a renewal goes out, and the AI surfaced it without being asked specifically to look for it.
Set it up once, run it the same way every time
The real time savings come from not re-explaining the task. Ben describes giving the AI its instructions once, so it knows that any time a policy document comes in, it should pull the main points and, if a second one follows, compare them.
Ben compares this to training an employee. Once they have done it enough times, you no longer walk them through every step. You hand them the policy, or email it over, and they do the same thing reliably.
In the example, the AI produced a full summary and comparison of two policies in under three minutes, with nothing typed in beyond uploading the PDFs. The approach in the video uses ChatGPT, but the same task works across modern AI tools, and the WhereToBegin.ai course teaches this kind of repeatable workflow using Claude.
Where the human stays in the loop
AI makes the comparison fast, but it does not make you any less accountable for what reaches the client. Treat the output as a strong first draft, not a final answer.
Open both policies and confirm the numbers the AI reported, the limits, the premiums, the dates, and especially anything it flagged as changed, like an address or unit. The discrepancy in the example, two different apartment numbers, is precisely the kind of finding you verify against the source before acting on it.