AI prompt to explain a claim settlement or estimate

A claim is when clients find out what their insurance is worth, and calm, clear communication helps. AI helps agents write empathetic updates, checklists and explanations; the carrier decides coverage and settlement.

Below is a ready-to-copy prompt to explain a claim settlement or estimate, a detailed version that asks you clarifying questions first, and 1 specialized AI tool (Docsumo) with instructions for this task. It also works in ChatGPT, Claude, Gemini or Copilot.

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The prompt

Write a plain-English explanation of a typical claim settlement letter (estimate, deductible applied, depreciation and recoverable depreciation in general terms), encouraging the client to review it with us. Use placeholders like [First Name] and [Policy Type]; never include real client data; the carrier makes final decisions.

Detailed version (asks clarifying questions first)

Act as an experienced assistant to a licensed insurance agent. Before answering, ask me up to 3 clarifying questions (the type of claim, where the client is in the process, and tone). Then complete this task, and finish with a short checklist of statements I should verify with my compliance team.

Task: Write a plain-English explanation of a typical claim settlement letter (estimate, deductible applied, depreciation and recoverable depreciation in general terms), encouraging the client to review it with us. Use placeholders like [First Name] and [Policy Type]; never include real client data; the carrier makes final decisions.

What a good result looks like

A good explanation walks the client through a typical settlement letter: the estimate, how the deductible is applied, depreciation and, where the policy provides it, recoverable depreciation paid after repairs. It encourages them to review the letter with you.

Common mistakes and watch-outs

Explain terms generally; never interpret the client's specific settlement without reading it. Don't promise additional payments. The insurer decides the claim. If you use a document tool like Docsumo to pull figures from the letter, check them against the original.

How to adapt the prompt

Write versions for auto total loss letters and home repair estimates. Ask for a list of questions to bring to the adjuster.

EXAMPLE output (placeholder data, not a real client)

Understanding your settlement letter

Estimate: the insurer's estimate of what it costs to repair or replace the damage.

Deductible: subtracted from the payment. Example: estimate [Amount A] - deductible [Amount B].

Depreciation: some policies first pay the item's value after wear and age.

Recoverable depreciation: on some policies, part of that may be paid after repairs are done.

The insurer makes the final decision. Let's review your letter together: [Phone].

How to use it

Copy the prompt. Copy the short prompt above, or the detailed version if you want the AI to ask clarifying questions first.
Fill in the placeholders. Replace [First Name] and [Policy Type] with your own details. Use placeholders or de-identified details; never paste client personal information.
Run it in the right tool. Paste it into ChatGPT, Claude, Gemini or Copilot, or use Docsumo as described below.
Review before you use it. Don't promise coverage or payment; the carrier and adjuster decide. Check every fact, name and number yourself.
Take the next step. Next, see: Update a client on claim status.

Best AI tools for this task

Specialized tools first, ordered by fit for this task (never by payout), then any general AI assistant.

Docsumo site ↗

AI document extraction for forms such as ACORD forms and bank statements.

How to use it

Extract the line items from the settlement documents with Docsumo before reviewing them with the client.

Any AI assistant

ChatGPT Claude Google Gemini Microsoft Copilot

Paste the prompt above (short or detailed) into any of these.

Before you use it

Don't promise coverage or payment; the carrier and adjuster decide.
Double-check numbers and extracted data against the source document.
Never paste client personal information (names, policy numbers, health or financial details) into AI tools your agency hasn't approved.
Review every AI output for accuracy and compliance before you use it.

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